Fix hosted MCP auth header collision

Inject OpenIsle token into MCP requests

.env.example

@@ -2,6 +2,7 @@
 SERVER_PORT=8080
 FRONTEND_PORT=3000
 WEBSOCKET_PORT=8082
+OPENISLE_MCP_PORT=8085
 MYSQL_PORT=3306
 REDIS_PORT=6379
 RABBITMQ_PORT=5672

.github/workflows/coffee-bot.yml

@@ -0,0 +1,29 @@
+name: Coffee Bot
+
+on:
+  schedule:
+    - cron: "0 1 * * *"
+  workflow_dispatch:
+
+jobs:
+  run-coffee-bot:
+    environment: Bots
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "20"
+          cache: "npm"
+
+      - name: Install dependencies
+        run: npm install --no-save @openai/agents tsx typescript
+
+      - name: Run coffee bot
+        env:
+          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+          OPENISLE_TOKEN: ${{ secrets.OPENISLE_TOKEN }}
+        run: npx tsx bots/instance/coffee_bot.ts

.github/workflows/reply-bots.yml

@@ -0,0 +1,29 @@
+name: Reply Bots
+
+on:
+  schedule:
+    - cron: "*/30 * * * *"
+  workflow_dispatch:
+
+jobs:
+  run-reply-bot:
+    environment: Bots
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "20"
+          cache: "npm"
+
+      - name: Install dependencies
+        run: npm install --no-save @openai/agents tsx typescript
+
+      - name: Run reply bot
+        env:
+          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+          OPENISLE_TOKEN: ${{ secrets.OPENISLE_TOKEN }}
+        run: npx tsx bots/instance/reply_bot.ts

backend/src/main/java/com/openisle/controller/CommentController.java

@@ -1,11 +1,13 @@
 package com.openisle.controller;
 
+import com.openisle.dto.CommentContextDto;
 import com.openisle.dto.CommentDto;
 import com.openisle.dto.CommentRequest;
 import com.openisle.dto.PostChangeLogDto;
 import com.openisle.dto.TimelineItemDto;
 import com.openisle.mapper.CommentMapper;
 import com.openisle.mapper.PostChangeLogMapper;
+import com.openisle.mapper.PostMapper;
 import com.openisle.model.Comment;
 import com.openisle.model.CommentSort;
 import com.openisle.service.*;
@@ -40,6 +42,7 @@ public class CommentController {
   private final PointService pointService;
   private final PostChangeLogService changeLogService;
   private final PostChangeLogMapper postChangeLogMapper;
+  private final PostMapper postMapper;
 
   @Value("${app.captcha.enabled:false}")
   private boolean captchaEnabled;
@@ -184,6 +187,37 @@ public class CommentController {
     return itemDtoList;
   }
 
+  @GetMapping("/comments/{commentId}/context")
+  @Operation(
+    summary = "Comment context",
+    description = "Get a comment along with its previous comments and related post"
+  )
+  @ApiResponse(
+    responseCode = "200",
+    description = "Comment context",
+    content = @Content(schema = @Schema(implementation = CommentContextDto.class))
+  )
+  public ResponseEntity<CommentContextDto> getCommentContext(@PathVariable Long commentId) {
+    log.debug("getCommentContext called for comment {}", commentId);
+    Comment comment = commentService.getComment(commentId);
+    CommentContextDto dto = new CommentContextDto();
+    dto.setPost(postMapper.toSummaryDto(comment.getPost()));
+    dto.setTargetComment(commentMapper.toDtoWithReplies(comment));
+    dto.setPreviousComments(
+      commentService
+        .getCommentsBefore(comment)
+        .stream()
+        .map(commentMapper::toDtoWithReplies)
+        .collect(Collectors.toList())
+    );
+    log.debug(
+      "getCommentContext returning {} previous comments for comment {}",
+      dto.getPreviousComments().size(),
+      commentId
+    );
+    return ResponseEntity.ok(dto);
+  }
+
   @DeleteMapping("/comments/{id}")
   @Operation(summary = "Delete comment", description = "Delete a comment")
   @ApiResponse(responseCode = "200", description = "Deleted")

backend/src/main/java/com/openisle/controller/PostController.java

@@ -224,6 +224,26 @@ public class PostController {
       .collect(Collectors.toList());
   }
 
+  @GetMapping("/recent")
+  @Operation(
+    summary = "Recent posts",
+    description = "List posts created within the specified number of minutes"
+  )
+  @ApiResponse(
+    responseCode = "200",
+    description = "Recent posts",
+    content = @Content(
+      array = @ArraySchema(schema = @Schema(implementation = PostSummaryDto.class))
+    )
+  )
+  public List<PostSummaryDto> recentPosts(@RequestParam("minutes") int minutes) {
+    return postService
+      .listRecentPosts(minutes)
+      .stream()
+      .map(postMapper::toSummaryDto)
+      .collect(Collectors.toList());
+  }
+
   @GetMapping("/ranking")
   @Operation(summary = "Ranking posts", description = "List posts by view rankings")
   @ApiResponse(

backend/src/main/java/com/openisle/dto/CommentContextDto.java

@@ -0,0 +1,15 @@
+package com.openisle.dto;
+
+import java.util.List;
+import lombok.Data;
+
+/**
+ * DTO representing the context of a comment including its post and previous comments.
+ */
+@Data
+public class CommentContextDto {
+
+  private PostSummaryDto post;
+  private CommentDto targetComment;
+  private List<CommentDto> previousComments;
+}

backend/src/main/java/com/openisle/repository/CommentRepository.java

@@ -3,6 +3,7 @@ package com.openisle.repository;
 import com.openisle.model.Comment;
 import com.openisle.model.Post;
 import com.openisle.model.User;
+import java.time.LocalDateTime;
 import java.util.List;
 import org.springframework.data.domain.Pageable;
 import org.springframework.data.jpa.repository.JpaRepository;
@@ -10,6 +11,10 @@ import org.springframework.data.jpa.repository.JpaRepository;
 public interface CommentRepository extends JpaRepository<Comment, Long> {
   List<Comment> findByPostAndParentIsNullOrderByCreatedAtAsc(Post post);
   List<Comment> findByParentOrderByCreatedAtAsc(Comment parent);
+  List<Comment> findByPostAndCreatedAtLessThanOrderByCreatedAtAsc(
+    Post post,
+    LocalDateTime createdAt
+  );
   List<Comment> findByAuthorOrderByCreatedAtDesc(User author, Pageable pageable);
   List<Comment> findByContentContainingIgnoreCase(String keyword);
 

backend/src/main/java/com/openisle/repository/PostRepository.java

@@ -19,6 +19,10 @@ public interface PostRepository extends JpaRepository<Post, Long> {
   List<Post> findByStatusOrderByCreatedAtDesc(PostStatus status, Pageable pageable);
   List<Post> findByStatusOrderByViewsDesc(PostStatus status);
   List<Post> findByStatusOrderByViewsDesc(PostStatus status, Pageable pageable);
+  List<Post> findByStatusAndCreatedAtGreaterThanEqualOrderByCreatedAtDesc(
+    PostStatus status,
+    LocalDateTime createdAt
+  );
   List<Post> findByAuthorAndStatusOrderByCreatedAtDesc(
     User author,
     PostStatus status,

backend/src/main/java/com/openisle/service/CommentService.java

@@ -266,6 +266,27 @@ public class CommentService {
     return replies;
   }
 
+  public Comment getComment(Long commentId) {
+    log.debug("getComment called for id {}", commentId);
+    return commentRepository
+      .findById(commentId)
+      .orElseThrow(() -> new com.openisle.exception.NotFoundException("Comment not found"));
+  }
+
+  public List<Comment> getCommentsBefore(Comment comment) {
+    log.debug("getCommentsBefore called for comment {}", comment.getId());
+    List<Comment> comments = commentRepository.findByPostAndCreatedAtLessThanOrderByCreatedAtAsc(
+      comment.getPost(),
+      comment.getCreatedAt()
+    );
+    log.debug(
+      "getCommentsBefore returning {} comments for comment {}",
+      comments.size(),
+      comment.getId()
+    );
+    return comments;
+  }
+
   public List<Comment> getRecentCommentsByUser(String username, int limit) {
     log.debug("getRecentCommentsByUser called for user {} with limit {}", username, limit);
     User user = userRepository

backend/src/main/java/com/openisle/service/PostService.java

@@ -770,6 +770,18 @@ public class PostService {
     return listPostsByCategories(null, null, null);
   }
 
+  public List<Post> listRecentPosts(int minutes) {
+    if (minutes <= 0) {
+      throw new IllegalArgumentException("Minutes must be positive");
+    }
+    LocalDateTime since = LocalDateTime.now().minusMinutes(minutes);
+    List<Post> posts = postRepository.findByStatusAndCreatedAtGreaterThanEqualOrderByCreatedAtDesc(
+      PostStatus.PUBLISHED,
+      since
+    );
+    return sortByPinnedAndCreated(posts);
+  }
+
   public List<Post> listPostsByViews(Integer page, Integer pageSize) {
     return listPostsByViews(null, null, page, pageSize);
   }

bots/bot_father.ts

@@ -0,0 +1,150 @@
+import { Agent, Runner, hostedMcpTool, withTrace } from "@openai/agents";
+
+export type WorkflowInput = { input_as_text: string };
+
+export abstract class BotFather {
+  protected readonly allowedMcpTools = [
+    "search",
+    "create_post",
+    "reply_to_post",
+    "reply_to_comment",
+    "recent_posts",
+    "get_post",
+    "list_unread_messages",
+    "mark_notifications_read",
+    "create_post",
+  ];
+
+  protected readonly openisleToken = (process.env.OPENISLE_TOKEN ?? "").trim();
+
+  protected readonly mcp = this.createHostedMcpTool();
+  protected readonly agent: Agent;
+
+  constructor(protected readonly name: string) {
+    console.log(`✅ ${this.name} starting...`);
+    console.log(
+      "🛠️ Configured Hosted MCP tools:",
+      this.allowedMcpTools.join(", ")
+    );
+
+    console.log(
+      this.openisleToken
+        ? "🔑 OPENISLE_TOKEN detected in environment; it will be attached to MCP requests."
+        : "🔓 OPENISLE_TOKEN not set; authenticated MCP tools may be unavailable."
+    );
+
+    this.agent = new Agent({
+      name: this.name,
+      instructions: this.buildInstructions(),
+      tools: [this.mcp],
+      model: "gpt-4o",
+      modelSettings: {
+        temperature: 0.7,
+        topP: 1,
+        maxTokens: 2048,
+        toolChoice: "auto",
+        store: true,
+      },
+    });
+  }
+
+  protected buildInstructions(): string {
+    const instructions = [
+      ...this.getBaseInstructions(),
+      ...this.getAdditionalInstructions(),
+    ].filter(Boolean);
+    return instructions.join("\n");
+  }
+
+  protected getBaseInstructions(): string[] {
+    return [
+      "You are a helpful assistant for https://www.open-isle.com.",
+      "Finish tasks end-to-end before replying. If multiple MCP tools are needed, call them sequentially until the task is truly done.",
+      "When presenting the result, reply in Chinese with a concise summary and include any important URLs or IDs.",
+      "After finishing replies, call mark_notifications_read with all processed notification IDs to keep the inbox clean.",
+    ];
+  }
+
+  private createHostedMcpTool() {
+    const token = this.openisleToken;
+    const authConfig = token
+      ? {
+          headers: {
+            Authorization: `Bearer ${token}`,
+          },
+        }
+      : {};
+
+    return hostedMcpTool({
+      serverLabel: "openisle_mcp",
+      serverUrl: "https://www.open-isle.com/mcp",
+      allowedTools: this.allowedMcpTools,
+      requireApproval: "never",
+      ...authConfig,
+    });
+  }
+
+  protected getAdditionalInstructions(): string[] {
+    return [];
+  }
+
+  protected createRunner(): Runner {
+    return new Runner({
+      workflowName: this.name,
+      traceMetadata: {
+        __trace_source__: "agent-builder",
+        workflow_id: "wf_69003cbd47e08190928745d3c806c0b50d1a01cfae052be8",
+      },
+    });
+  }
+
+  public async runWorkflow(workflow: WorkflowInput) {
+    if (!process.env.OPENAI_API_KEY) {
+      throw new Error("Missing OPENAI_API_KEY");
+    }
+
+    const runner = this.createRunner();
+
+    return await withTrace(`${this.name} run`, async () => {
+      const preview = workflow.input_as_text.trim();
+      console.log(
+        "📝 Received workflow input (preview):",
+        preview.length > 200 ? `${preview.slice(0, 200)}…` : preview
+      );
+
+      console.log("🚦 Starting agent run with maxTurns=16...");
+      const result = await runner.run(this.agent, workflow.input_as_text, {
+        maxTurns: 16,
+      });
+
+      console.log("📬 Agent run completed. Result keys:", Object.keys(result));
+
+      if (!result.finalOutput) {
+        throw new Error("Agent result is undefined (no final output).");
+      }
+
+      const openisleBotResult = { output_text: String(result.finalOutput) };
+
+      console.log(
+        "🤖 Agent result (length=%d):\n%s",
+        openisleBotResult.output_text.length,
+        openisleBotResult.output_text
+      );
+      return openisleBotResult;
+    });
+  }
+
+  protected abstract getCliQuery(): string;
+
+  public async runCli(): Promise<void> {
+    try {
+      const query = this.getCliQuery();
+      console.log("🔍 Running workflow...");
+      await this.runWorkflow({ input_as_text: query });
+      process.exit(0);
+    } catch (err: any) {
+      console.error("❌ Agent failed:", err?.stack || err);
+      process.exit(1);
+    }
+  }
+}

bots/instance/coffee_bot.ts

@@ -0,0 +1,63 @@
+import { BotFather, WorkflowInput } from "../bot_father";
+
+const WEEKDAY_NAMES = ["日", "一", "二", "三", "四", "五", "六"] as const;
+
+class CoffeeBot extends BotFather {
+  constructor() {
+    super("Coffee Bot");
+  }
+
+  protected override getAdditionalInstructions(): string[] {
+    return [
+      "You are responsible for 发布每日抽奖早安贴。",
+      "创建帖子时，确保标题、奖品信息、开奖时间以及领奖方式完全符合 CLI 查询提供的细节。",
+      "正文需亲切友好，简洁明了，鼓励社区成员互动。",
+      "开奖说明需明确告知中奖者需私聊站长 @nagisa 领取奖励。",
+      "确保只发布一个帖子，避免重复调用 create_post。",
+    ];
+  }
+
+  protected override getCliQuery(): string {
+    const now = new Date();
+    const beijingNow = new Date(
+      now.toLocaleString("en-US", { timeZone: "Asia/Shanghai" })
+    );
+    const weekday = WEEKDAY_NAMES[beijingNow.getDay()];
+
+    const drawTime = new Date(beijingNow);
+    drawTime.setHours(15, 0, 0, 0);
+    const drawTimeText = drawTime
+      .toLocaleTimeString("zh-CN", {
+        hour: "2-digit",
+        minute: "2-digit",
+        hour12: false,
+        timeZone: "Asia/Shanghai",
+      })
+      .replace(/^24:/, "00:");
+
+    return `
+请立即在 https://www.open-isle.com 使用 create_post 发表一篇全新帖子，遵循以下要求：
+1. 标题固定为「大家星期${weekday}早安--抽一杯咖啡」。
+2. 正文包含：
+   - 亲切的早安问候；
+   - 明确奖品写作“Coffee x 1”；
+   - 奖品图片链接：https://openisle-1307107697.cos.accelerate.myqcloud.com/dynamic_assert/0d6a9b33e9ca4fe5a90540187d3f9ecb.png；
+   - 公布开奖时间为今天下午 15:00（北京时间，写成 ${drawTimeText}）；
+   - 标注“领奖请私聊站长 @nagisa”；
+   - 鼓励大家留言互动。
+3. 帖子语言使用简体中文，格式可用 Markdown，使关键信息醒目。
+4. 完成后只输出“已发布咖啡抽奖贴”，不额外生成总结。
+`.trim();
+  }
+}
+
+const coffeeBot = new CoffeeBot();
+
+export const runWorkflow = async (workflow: WorkflowInput) => {
+  return coffeeBot.runWorkflow(workflow);
+};
+
+if (require.main === module) {
+  coffeeBot.runCli();
+}
+

bots/instance/reply_bot.ts

@@ -0,0 +1,39 @@
+// reply_bot.ts
+import { BotFather, WorkflowInput } from "../bot_father";
+
+class ReplyBot extends BotFather {
+  constructor() {
+    super("OpenIsle Bot");
+  }
+
+  protected override getAdditionalInstructions(): string[] {
+    return [
+      "You are a helpful and cute assistant for https://www.open-isle.com. Keep the lovable tone with plentiful kawaii kaomoji (颜表情) such as (๑˃ᴗ˂)ﻭ, (•̀ω•́)✧, (｡•ᴗ-)_♡, (⁎⁍̴̛ᴗ⁍̴̛⁎), etc., while staying professional and informative.",
+      "OpenIsle 是一个由 Spring Boot + Vue 3 打造的开源社区平台，提供注册登录、OAuth 登录（Google/GitHub/Discord/Twitter）、帖子与评论互动、标签分类、草稿、统计分析、通知消息、全局搜索、Markdown 支持、图片上传（默认腾讯云 COS）、浏览器推送、DiceBear 头像等功能，旨在帮助团队快速搭建属于自己的技术社区。",
+      "回复时请主动结合上述站点背景，为用户提供有洞察力、可执行的建议或答案，并在需要时引用官网 https://www.open-isle.com、GitHub 仓库 https://github.com/nagisa77/OpenIsle 或相关文档链接，避免空泛的安慰或套话。",
+      "When presenting the result, reply in Chinese with a concise yet content-rich summary filled with kaomoji,并清晰列出关键结论、操作步骤、重要 URL 或 ID，确保用户能直接采取行动。",
+    ];
+  }
+
+  protected override getCliQuery(): string {
+    return `
+      【AUTO】无需确认，自动处理所有未读的提及与评论：
+      1）调用 list_unread_messages；
+      2）依次处理每条“提及/评论”：如需上下文则使用 get_post 获取，生成简明中文回复；如有 commentId 则用 reply_to_comment，否则用 reply_to_post；
+      3）跳过关注和系统事件；
+      4）保证幂等性：如该贴最后一条是你自己发的回复，则跳过；
+      5）调用 mark_notifications_read，传入本次已处理的通知 ID 清理已读；
+      6）最多只处理最新10条；结束时仅输出简要摘要（包含URL或ID）。
+    `.trim();
+  }
+}
+
+const replyBot = new ReplyBot();
+
+export const runWorkflow = async (workflow: WorkflowInput) => {
+  return replyBot.runWorkflow(workflow);
+};
+
+if (require.main === module) {
+  replyBot.runCli();
+}

deploy/deploy.sh

@@ -40,12 +40,12 @@ echo "👉 Build images ..."
 docker compose -f "$compose_file" --env-file "$env_file" \
   build --pull \
   --build-arg NUXT_ENV=production \
-  frontend_service
+  frontend_service mcp
 
 echo "👉 Recreate & start all target services (no dev profile)..."
 docker compose -f "$compose_file" --env-file "$env_file" \
   up -d --force-recreate --remove-orphans --no-deps \
-  mysql redis rabbitmq websocket-service springboot frontend_service
+  mysql redis rabbitmq websocket-service springboot frontend_service mcp
 
 echo "👉 Current status:"
 docker compose -f "$compose_file" --env-file "$env_file" ps

deploy/deploy_staging.sh

@@ -39,12 +39,12 @@ echo "👉 Build images (staging)..."
 docker compose -f "$compose_file" --env-file "$env_file" \
   build --pull \
   --build-arg NUXT_ENV=staging \
-  frontend_service
+  frontend_service mcp
 
 echo "👉 Recreate & start all target services (no dev profile)..."
 docker compose -f "$compose_file" --env-file "$env_file" \
   up -d --force-recreate --remove-orphans --no-deps \
-  mysql redis rabbitmq websocket-service springboot frontend_service
+  mysql redis rabbitmq websocket-service springboot frontend_service mcp
 
 echo "👉 Current status:"
 docker compose -f "$compose_file" --env-file "$env_file" ps

docker/docker-compose.yaml

@@ -178,6 +178,32 @@ services:
       - dev
       - prod
 
+  mcp:
+    build:
+      context: ..
+      dockerfile: docker/mcp.Dockerfile
+    container_name: ${COMPOSE_PROJECT_NAME}-openisle-mcp
+    env_file:
+      - ${ENV_FILE:-../.env}
+    environment:
+      OPENISLE_MCP_BACKEND_BASE_URL: http://springboot:${SERVER_PORT:-8080}
+      OPENISLE_MCP_HOST: 0.0.0.0
+      OPENISLE_MCP_PORT: ${OPENISLE_MCP_PORT:-8085}
+      OPENISLE_MCP_TRANSPORT: ${OPENISLE_MCP_TRANSPORT:-streamable-http}
+      OPENISLE_MCP_REQUEST_TIMEOUT: ${OPENISLE_MCP_REQUEST_TIMEOUT:-10.0}
+    ports:
+      - "${OPENISLE_MCP_PORT:-8085}:${OPENISLE_MCP_PORT:-8085}"
+    depends_on:
+      springboot:
+        condition: service_started
+    networks:
+      - openisle-network
+    profiles:
+      - dev
+      - dev_local_backend
+      - prod
+
+
   websocket-service:
     image: maven:3.9-eclipse-temurin-17
     container_name: ${COMPOSE_PROJECT_NAME}-openisle-websocket

docker/mcp.Dockerfile

@@ -0,0 +1,21 @@
+FROM python:3.11-slim AS base
+
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1
+
+WORKDIR /app
+
+COPY mcp/pyproject.toml mcp/README.md ./
+COPY mcp/src ./src
+
+RUN pip install --no-cache-dir --upgrade pip \
+    && pip install --no-cache-dir .
+
+ENV OPENISLE_MCP_HOST=0.0.0.0 \
+    OPENISLE_MCP_PORT=8085 \
+    OPENISLE_MCP_TRANSPORT=streamable-http
+
+EXPOSE 8085
+
+CMD ["openisle-mcp"]
+

mcp/README.md

@@ -0,0 +1,42 @@
+# OpenIsle MCP Server
+
+This package provides a [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server
+that exposes OpenIsle's search capabilities as MCP tools. The initial release focuses on the
+global search endpoint so the agent ecosystem can retrieve relevant posts, users, tags, and
+other resources.
+
+## Configuration
+
+The server is configured through environment variables (all prefixed with `OPENISLE_MCP_`):
+
+| Variable | Default | Description |
+| --- | --- | --- |
+| `BACKEND_BASE_URL` | `http://springboot:8080` | Base URL of the OpenIsle backend. |
+| `PORT` | `8085` | TCP port when running with the `streamable-http` transport. |
+| `HOST` | `0.0.0.0` | Interface to bind when serving HTTP. |
+| `TRANSPORT` | `streamable-http` | Transport to use (`stdio`, `sse`, or `streamable-http`). |
+| `REQUEST_TIMEOUT` | `10.0` | Timeout (seconds) for backend HTTP requests. |
+
+## Running locally
+
+```bash
+pip install .
+OPENISLE_MCP_BACKEND_BASE_URL="http://localhost:8080" openisle-mcp
+```
+
+By default the server listens on port `8085` and serves MCP over Streamable HTTP.
+
+## Available tools
+
+| Tool | Description |
+| --- | --- |
+| `search` | Perform a global search against the OpenIsle backend. |
+| `create_post` | Publish a new post using a JWT token. |
+| `reply_to_post` | Create a new comment on a post using a JWT token. |
+| `reply_to_comment` | Reply to an existing comment using a JWT token. |
+| `recent_posts` | Retrieve posts created within the last *N* minutes. |
+
+The tools return structured data mirroring the backend DTOs, including highlighted snippets for
+search results, the full comment payload for post replies and comment replies, and detailed
+metadata for recent posts.
+

mcp/pyproject.toml

@@ -0,0 +1,27 @@
+[build-system]
+requires = ["hatchling>=1.25"]
+build-backend = "hatchling.build"
+
+[project]
+name = "openisle-mcp"
+version = "0.1.0"
+description = "Model Context Protocol server exposing OpenIsle search capabilities."
+readme = "README.md"
+authors = [{ name = "OpenIsle", email = "engineering@openisle.example" }]
+requires-python = ">=3.11"
+dependencies = [
+  "mcp>=1.19.0",
+  "httpx>=0.28,<0.29",
+  "pydantic>=2.12,<3",
+  "pydantic-settings>=2.11,<3"
+]
+
+[project.scripts]
+openisle-mcp = "openisle_mcp.server:main"
+
+[tool.hatch.build]
+packages = ["src/openisle_mcp"]
+
+[tool.ruff]
+line-length = 100
+

mcp/src/openisle_mcp/__init__.py

@@ -0,0 +1,6 @@
+"""OpenIsle MCP server package."""
+
+from .config import Settings, get_settings
+
+__all__ = ["Settings", "get_settings"]
+

mcp/src/openisle_mcp/config.py

@@ -0,0 +1,66 @@
+"""Application configuration helpers for the OpenIsle MCP server."""
+
+from __future__ import annotations
+
+from functools import lru_cache
+from typing import Literal
+
+from pydantic import Field, SecretStr
+from pydantic.networks import AnyHttpUrl
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    """Configuration for the MCP server."""
+
+    backend_base_url: AnyHttpUrl = Field(
+        "http://springboot:8080",
+        description="Base URL for the OpenIsle backend service.",
+    )
+    host: str = Field(
+        "0.0.0.0",
+        description="Host interface to bind when running with HTTP transports.",
+    )
+    port: int = Field(
+        8085,
+        ge=1,
+        le=65535,
+        description="TCP port for HTTP transports.",
+    )
+    transport: Literal["stdio", "sse", "streamable-http"] = Field(
+        "streamable-http",
+        description="MCP transport to use when running the server.",
+    )
+    request_timeout: float = Field(
+        10.0,
+        gt=0,
+        description="Timeout (seconds) for backend search requests.",
+    )
+    access_token: SecretStr | None = Field(
+        default=None,
+        description=(
+            "Optional JWT bearer token used for authenticated backend calls. "
+            "When set, tools that support authentication will use this token "
+            "automatically unless an explicit token override is provided."
+        ),
+    )
+    log_level: str = Field(
+        "INFO",
+        description=(
+            "Logging level for the MCP server (e.g. DEBUG, INFO, WARNING)."
+        ),
+    )
+
+    model_config = SettingsConfigDict(
+        env_prefix="OPENISLE_MCP_",
+        env_file=".env",
+        env_file_encoding="utf-8",
+        case_sensitive=False,
+    )
+
+
+@lru_cache(maxsize=1)
+def get_settings() -> Settings:
+    """Return cached application settings."""
+
+    return Settings()

mcp/src/openisle_mcp/schemas.py

@@ -0,0 +1,378 @@
+"""Pydantic models describing tool inputs and outputs."""
+
+from __future__ import annotations
+
+from datetime import datetime
+from typing import Any, Optional
+
+from pydantic import BaseModel, Field, ConfigDict, field_validator
+
+
+class SearchResultItem(BaseModel):
+    """A single search result entry."""
+
+    type: str = Field(description="Entity type for the result (post, user, tag, etc.).")
+    id: Optional[int] = Field(default=None, description="Identifier of the matched entity.")
+    text: Optional[str] = Field(default=None, description="Primary text associated with the result.")
+    sub_text: Optional[str] = Field(
+        default=None,
+        alias="subText",
+        description="Secondary text, e.g. a username or excerpt.",
+    )
+    extra: Optional[str] = Field(default=None, description="Additional contextual information.")
+    post_id: Optional[int] = Field(
+        default=None,
+        alias="postId",
+        description="Associated post identifier when relevant.",
+    )
+    highlighted_text: Optional[str] = Field(
+        default=None,
+        alias="highlightedText",
+        description="Highlighted snippet of the primary text if available.",
+    )
+    highlighted_sub_text: Optional[str] = Field(
+        default=None,
+        alias="highlightedSubText",
+        description="Highlighted snippet of the secondary text if available.",
+    )
+    highlighted_extra: Optional[str] = Field(
+        default=None,
+        alias="highlightedExtra",
+        description="Highlighted snippet of extra information if available.",
+    )
+
+    model_config = ConfigDict(populate_by_name=True)
+
+
+class SearchResponse(BaseModel):
+    """Structured response returned by the search tool."""
+
+    keyword: str = Field(description="The keyword that was searched.")
+    total: int = Field(description="Total number of matches returned by the backend.")
+    results: list[SearchResultItem] = Field(
+        default_factory=list,
+        description="Ordered collection of search results.",
+    )
+
+
+class AuthorInfo(BaseModel):
+    """Summary of a post or comment author."""
+
+    id: Optional[int] = Field(default=None, description="Author identifier.")
+    username: Optional[str] = Field(default=None, description="Author username.")
+    avatar: Optional[str] = Field(default=None, description="URL of the author's avatar.")
+    display_medal: Optional[str] = Field(
+        default=None,
+        alias="displayMedal",
+        description="Medal displayed next to the author, when available.",
+    )
+
+    model_config = ConfigDict(populate_by_name=True, extra="allow")
+
+
+class CategoryInfo(BaseModel):
+    """Basic information about a post category."""
+
+    id: Optional[int] = Field(default=None, description="Category identifier.")
+    name: Optional[str] = Field(default=None, description="Category name.")
+    description: Optional[str] = Field(
+        default=None, description="Human friendly description of the category."
+    )
+    icon: Optional[str] = Field(default=None, description="Icon URL associated with the category.")
+    small_icon: Optional[str] = Field(
+        default=None,
+        alias="smallIcon",
+        description="Compact icon URL for the category.",
+    )
+    count: Optional[int] = Field(default=None, description="Number of posts within the category.")
+
+    model_config = ConfigDict(populate_by_name=True, extra="allow")
+
+
+class TagInfo(BaseModel):
+    """Details for a tag assigned to a post."""
+
+    id: Optional[int] = Field(default=None, description="Tag identifier.")
+    name: Optional[str] = Field(default=None, description="Tag name.")
+    description: Optional[str] = Field(default=None, description="Description of the tag.")
+    icon: Optional[str] = Field(default=None, description="Icon URL for the tag.")
+    small_icon: Optional[str] = Field(
+        default=None,
+        alias="smallIcon",
+        description="Compact icon URL for the tag.",
+    )
+    created_at: Optional[datetime] = Field(
+        default=None,
+        alias="createdAt",
+        description="When the tag was created.",
+    )
+    count: Optional[int] = Field(default=None, description="Number of posts using the tag.")
+
+    model_config = ConfigDict(populate_by_name=True, extra="allow")
+
+
+class ReactionInfo(BaseModel):
+    """Representation of a reaction on a post or comment."""
+
+    id: Optional[int] = Field(default=None, description="Reaction identifier.")
+    type: Optional[str] = Field(default=None, description="Reaction type (emoji, like, etc.).")
+    user: Optional[str] = Field(default=None, description="Username of the reacting user.")
+    post_id: Optional[int] = Field(
+        default=None,
+        alias="postId",
+        description="Related post identifier when applicable.",
+    )
+    comment_id: Optional[int] = Field(
+        default=None,
+        alias="commentId",
+        description="Related comment identifier when applicable.",
+    )
+    message_id: Optional[int] = Field(
+        default=None,
+        alias="messageId",
+        description="Related message identifier when applicable.",
+    )
+    reward: Optional[int] = Field(default=None, description="Reward granted for the reaction, if any.")
+
+    model_config = ConfigDict(populate_by_name=True, extra="allow")
+
+
+class CommentData(BaseModel):
+    """Comment information returned by the backend."""
+
+    id: Optional[int] = Field(default=None, description="Comment identifier.")
+    content: Optional[str] = Field(default=None, description="Markdown content of the comment.")
+    created_at: Optional[datetime] = Field(
+        default=None,
+        alias="createdAt",
+        description="Timestamp when the comment was created.",
+    )
+    pinned_at: Optional[datetime] = Field(
+        default=None,
+        alias="pinnedAt",
+        description="Timestamp when the comment was pinned, if applicable.",
+    )
+    author: Optional[AuthorInfo] = Field(default=None, description="Author of the comment.")
+    replies: list["CommentData"] = Field(
+        default_factory=list,
+        description="Nested replies associated with the comment.",
+    )
+    reactions: list[ReactionInfo] = Field(
+        default_factory=list,
+        description="Reactions applied to the comment.",
+    )
+    reward: Optional[int] = Field(default=None, description="Reward gained by posting the comment.")
+    point_reward: Optional[int] = Field(
+        default=None,
+        alias="pointReward",
+        description="Points rewarded for the comment.",
+    )
+
+    model_config = ConfigDict(populate_by_name=True, extra="allow")
+
+    @field_validator("replies", "reactions", mode="before")
+    @classmethod
+    def _ensure_comment_lists(cls, value: Any) -> list[Any]:
+        """Convert ``None`` payloads to empty lists for comment collections."""
+
+        if value is None:
+            return []
+        return value
+
+
+class CommentReplyResult(BaseModel):
+    """Structured response returned when replying to a comment."""
+
+    comment: CommentData = Field(description="Reply comment returned by the backend.")
+
+
+class CommentCreateResult(BaseModel):
+    """Structured response returned when creating a comment on a post."""
+
+    comment: CommentData = Field(description="Comment returned by the backend.")
+
+
+class PostCreateResult(BaseModel):
+    """Structured response returned when creating a new post."""
+
+    post: PostDetail = Field(description="Detailed post payload returned by the backend.")
+
+
+class PostSummary(BaseModel):
+    """Summary information for a post."""
+
+    id: Optional[int] = Field(default=None, description="Post identifier.")
+    title: Optional[str] = Field(default=None, description="Title of the post.")
+    content: Optional[str] = Field(default=None, description="Excerpt or content of the post.")
+    created_at: Optional[datetime] = Field(
+        default=None,
+        alias="createdAt",
+        description="When the post was created.",
+    )
+    author: Optional[AuthorInfo] = Field(default=None, description="Author who created the post.")
+    category: Optional[CategoryInfo] = Field(default=None, description="Category of the post.")
+    tags: list[TagInfo] = Field(default_factory=list, description="Tags assigned to the post.")
+    views: Optional[int] = Field(default=None, description="Total view count for the post.")
+    comment_count: Optional[int] = Field(
+        default=None,
+        alias="commentCount",
+        description="Number of comments on the post.",
+    )
+    status: Optional[str] = Field(default=None, description="Workflow status of the post.")
+    pinned_at: Optional[datetime] = Field(
+        default=None,
+        alias="pinnedAt",
+        description="When the post was pinned, if ever.",
+    )
+    last_reply_at: Optional[datetime] = Field(
+        default=None,
+        alias="lastReplyAt",
+        description="Timestamp of the most recent reply.",
+    )
+    reactions: list[ReactionInfo] = Field(
+        default_factory=list,
+        description="Reactions received by the post.",
+    )
+    participants: list[AuthorInfo] = Field(
+        default_factory=list,
+        description="Users participating in the discussion.",
+    )
+    subscribed: Optional[bool] = Field(
+        default=None,
+        description="Whether the current user is subscribed to the post.",
+    )
+    reward: Optional[int] = Field(default=None, description="Reward granted for the post.")
+    point_reward: Optional[int] = Field(
+        default=None,
+        alias="pointReward",
+        description="Points granted for the post.",
+    )
+    type: Optional[str] = Field(default=None, description="Type of the post.")
+    lottery: Optional[dict[str, Any]] = Field(
+        default=None, description="Lottery information for the post."
+    )
+    poll: Optional[dict[str, Any]] = Field(
+        default=None, description="Poll information for the post."
+    )
+    rss_excluded: Optional[bool] = Field(
+        default=None,
+        alias="rssExcluded",
+        description="Whether the post is excluded from RSS feeds.",
+    )
+    closed: Optional[bool] = Field(default=None, description="Whether the post is closed for replies.")
+    visible_scope: Optional[str] = Field(
+        default=None,
+        alias="visibleScope",
+        description="Visibility scope configuration for the post.",
+    )
+
+    model_config = ConfigDict(populate_by_name=True, extra="allow")
+
+    @field_validator("tags", "reactions", "participants", mode="before")
+    @classmethod
+    def _ensure_post_lists(cls, value: Any) -> list[Any]:
+        """Normalize ``None`` values returned by the backend to empty lists."""
+
+        if value is None:
+            return []
+        return value
+
+
+class RecentPostsResponse(BaseModel):
+    """Structured response for the recent posts tool."""
+
+    minutes: int = Field(description="Time window, in minutes, used for the query.")
+    total: int = Field(description="Number of posts returned by the backend.")
+    posts: list[PostSummary] = Field(
+        default_factory=list,
+        description="Posts created within the requested time window.",
+    )
+
+
+CommentData.model_rebuild()
+
+
+class PostDetail(PostSummary):
+    """Detailed information for a single post, including comments."""
+
+    comments: list[CommentData] = Field(
+        default_factory=list,
+        description="Comments that belong to the post.",
+    )
+
+    model_config = ConfigDict(populate_by_name=True, extra="allow")
+
+    @field_validator("comments", mode="before")
+    @classmethod
+    def _ensure_comments_list(cls, value: Any) -> list[Any]:
+        """Treat ``None`` comments payloads as empty lists."""
+
+        if value is None:
+            return []
+        return value
+
+
+class NotificationData(BaseModel):
+    """Unread notification payload returned by the backend."""
+
+    id: Optional[int] = Field(default=None, description="Notification identifier.")
+    type: Optional[str] = Field(default=None, description="Type of the notification.")
+    post: Optional[PostSummary] = Field(
+        default=None, description="Post associated with the notification if applicable."
+    )
+    comment: Optional[CommentData] = Field(
+        default=None, description="Comment referenced by the notification when available."
+    )
+    parent_comment: Optional[CommentData] = Field(
+        default=None,
+        alias="parentComment",
+        description="Parent comment for nested replies, when present.",
+    )
+    from_user: Optional[AuthorInfo] = Field(
+        default=None,
+        alias="fromUser",
+        description="User who triggered the notification.",
+    )
+    reaction_type: Optional[str] = Field(
+        default=None,
+        alias="reactionType",
+        description="Reaction type for reaction-based notifications.",
+    )
+    content: Optional[str] = Field(
+        default=None, description="Additional content or message for the notification."
+    )
+    approved: Optional[bool] = Field(
+        default=None, description="Approval status for moderation notifications."
+    )
+    read: Optional[bool] = Field(default=None, description="Whether the notification is read.")
+    created_at: Optional[datetime] = Field(
+        default=None,
+        alias="createdAt",
+        description="Timestamp when the notification was created.",
+    )
+
+    model_config = ConfigDict(populate_by_name=True, extra="allow")
+
+
+class UnreadNotificationsResponse(BaseModel):
+    """Structured response for unread notification queries."""
+
+    page: int = Field(description="Requested page index for the unread notifications.")
+    size: int = Field(description="Requested page size for the unread notifications.")
+    total: int = Field(description="Number of unread notifications returned in this page.")
+    notifications: list[NotificationData] = Field(
+        default_factory=list,
+        description="Unread notifications returned by the backend.",
+    )
+
+
+class NotificationCleanupResult(BaseModel):
+    """Structured response returned after marking notifications as read."""
+
+    processed_ids: list[int] = Field(
+        default_factory=list,
+        description="Identifiers that were marked as read in the backend.",
+    )
+    total_marked: int = Field(
+        description="Total number of notifications successfully marked as read.",
+    )

mcp/src/openisle_mcp/search_client.py

@@ -0,0 +1,342 @@
+"""HTTP client helpers for talking to the OpenIsle backend endpoints."""
+
+from __future__ import annotations
+
+import json
+import logging
+from typing import Any
+
+import httpx
+
+
+logger = logging.getLogger(__name__)
+
+
+class SearchClient:
+    """Client for calling the OpenIsle HTTP APIs used by the MCP server."""
+
+    def __init__(
+        self,
+        base_url: str,
+        *,
+        timeout: float = 10.0,
+        access_token: str | None = None,
+    ) -> None:
+        self._base_url = base_url.rstrip("/")
+        self._timeout = timeout
+        self._client: httpx.AsyncClient | None = None
+        self._access_token = self._sanitize_token(access_token)
+
+    def _get_client(self) -> httpx.AsyncClient:
+        if self._client is None:
+            logger.debug(
+                "Creating httpx.AsyncClient for base URL %s with timeout %.2fs",
+                self._base_url,
+                self._timeout,
+            )
+            self._client = httpx.AsyncClient(
+                base_url=self._base_url,
+                timeout=self._timeout,
+            )
+        return self._client
+
+    @staticmethod
+    def _sanitize_token(token: str | None) -> str | None:
+        if token is None:
+            return None
+        stripped = token.strip()
+        return stripped or None
+
+    def update_access_token(self, token: str | None) -> None:
+        """Update the default access token used for authenticated requests."""
+
+        self._access_token = self._sanitize_token(token)
+        if self._access_token:
+            logger.debug("Configured default access token for SearchClient requests.")
+        else:
+            logger.debug("Cleared default access token for SearchClient requests.")
+
+    def _resolve_token(self, token: str | None) -> str | None:
+        candidate = self._sanitize_token(token)
+        if candidate is not None:
+            return candidate
+        return self._access_token
+
+    def _require_token(self, token: str | None) -> str:
+        resolved = self._resolve_token(token)
+        if resolved is None:
+            raise ValueError(
+                "Authenticated request requires an access token but none was provided."
+            )
+        return resolved
+
+    def _build_headers(
+        self,
+        *,
+        token: str | None = None,
+        accept: str = "application/json",
+        include_json: bool = False,
+    ) -> dict[str, str]:
+        headers: dict[str, str] = {"Accept": accept}
+        resolved = self._resolve_token(token)
+        if resolved:
+            headers["Authorization"] = f"Bearer {resolved}"
+        if include_json:
+            headers["Content-Type"] = "application/json"
+        return headers
+
+    async def global_search(self, keyword: str) -> list[dict[str, Any]]:
+        """Call the global search endpoint and return the parsed JSON payload."""
+
+        client = self._get_client()
+        logger.debug("Calling global search with keyword=%s", keyword)
+        response = await client.get(
+            "/api/search/global",
+            params={"keyword": keyword},
+            headers=self._build_headers(),
+        )
+        response.raise_for_status()
+        payload = response.json()
+        if not isinstance(payload, list):
+            formatted = json.dumps(payload, ensure_ascii=False)[:200]
+            raise ValueError(f"Unexpected response format from search endpoint: {formatted}")
+        logger.info(
+            "Global search returned %d results for keyword '%s'",
+            len(payload),
+            keyword,
+        )
+        return [self._ensure_dict(entry) for entry in payload]
+
+    async def reply_to_comment(
+        self,
+        comment_id: int,
+        token: str,
+        content: str,
+        captcha: str | None = None,
+    ) -> dict[str, Any]:
+        """Reply to an existing comment and return the created reply."""
+
+        client = self._get_client()
+        resolved_token = self._require_token(token)
+        headers = self._build_headers(token=resolved_token, include_json=True)
+        payload: dict[str, Any] = {"content": content}
+        if captcha is not None:
+            stripped_captcha = captcha.strip()
+            if stripped_captcha:
+                payload["captcha"] = stripped_captcha
+
+        logger.debug(
+            "Posting reply to comment_id=%s (captcha=%s)",
+            comment_id,
+            bool(captcha),
+        )
+        response = await client.post(
+            f"/api/comments/{comment_id}/replies",
+            json=payload,
+            headers=headers,
+        )
+        response.raise_for_status()
+        body = self._ensure_dict(response.json())
+        logger.info("Reply to comment_id=%s succeeded with id=%s", comment_id, body.get("id"))
+        return body
+
+    async def reply_to_post(
+        self,
+        post_id: int,
+        token: str,
+        content: str,
+        captcha: str | None = None,
+    ) -> dict[str, Any]:
+        """Create a comment on a post and return the backend payload."""
+
+        client = self._get_client()
+        resolved_token = self._require_token(token)
+        headers = self._build_headers(token=resolved_token, include_json=True)
+        payload: dict[str, Any] = {"content": content}
+        if captcha is not None:
+            stripped_captcha = captcha.strip()
+            if stripped_captcha:
+                payload["captcha"] = stripped_captcha
+
+        logger.debug(
+            "Posting comment to post_id=%s (captcha=%s)",
+            post_id,
+            bool(captcha),
+        )
+        response = await client.post(
+            f"/api/posts/{post_id}/comments",
+            json=payload,
+            headers=headers,
+        )
+        response.raise_for_status()
+        body = self._ensure_dict(response.json())
+        logger.info("Reply to post_id=%s succeeded with id=%s", post_id, body.get("id"))
+        return body
+
+    async def create_post(
+        self,
+        payload: dict[str, Any],
+        *,
+        token: str | None = None,
+    ) -> dict[str, Any]:
+        """Create a new post and return the detailed backend payload."""
+
+        client = self._get_client()
+        resolved_token = self._require_token(token)
+        headers = self._build_headers(token=resolved_token, include_json=True)
+
+        logger.debug(
+            "Creating post with category_id=%s and %d tag(s)",
+            payload.get("categoryId"),
+            len(payload.get("tagIds", []) if isinstance(payload.get("tagIds"), list) else []),
+        )
+        response = await client.post(
+            "/api/posts",
+            json=payload,
+            headers=headers,
+        )
+        response.raise_for_status()
+        body = self._ensure_dict(response.json())
+        logger.info("Post creation succeeded with id=%s", body.get("id"))
+        return body
+
+    async def recent_posts(self, minutes: int) -> list[dict[str, Any]]:
+        """Return posts created within the given timeframe."""
+
+        client = self._get_client()
+        logger.debug(
+            "Fetching recent posts within last %s minutes",
+            minutes,
+        )
+        response = await client.get(
+            "/api/posts/recent",
+            params={"minutes": minutes},
+            headers=self._build_headers(),
+        )
+        response.raise_for_status()
+        payload = response.json()
+        if not isinstance(payload, list):
+            formatted = json.dumps(payload, ensure_ascii=False)[:200]
+            raise ValueError(
+                f"Unexpected response format from recent posts endpoint: {formatted}"
+            )
+        logger.info(
+            "Fetched %d recent posts for window=%s minutes",
+            len(payload),
+            minutes,
+        )
+        return [self._ensure_dict(entry) for entry in payload]
+
+    async def get_post(self, post_id: int, token: str | None = None) -> dict[str, Any]:
+        """Retrieve the detailed payload for a single post."""
+
+        client = self._get_client()
+        headers = self._build_headers(token=token)
+        logger.debug("Fetching post details for post_id=%s", post_id)
+        response = await client.get(f"/api/posts/{post_id}", headers=headers)
+        response.raise_for_status()
+        body = self._ensure_dict(response.json())
+        logger.info(
+            "Retrieved post_id=%s successfully with %d top-level comments",
+            post_id,
+            len(body.get("comments", []) if isinstance(body.get("comments"), list) else []),
+        )
+        return body
+
+    async def list_unread_notifications(
+        self,
+        *,
+        page: int = 0,
+        size: int = 30,
+        token: str | None = None,
+    ) -> list[dict[str, Any]]:
+        """Return unread notifications for the authenticated user."""
+
+        client = self._get_client()
+        resolved_token = self._require_token(token)
+        logger.debug(
+            "Fetching unread notifications with page=%s, size=%s",
+            page,
+            size,
+        )
+        response = await client.get(
+            "/api/notifications/unread",
+            params={"page": page, "size": size},
+            headers=self._build_headers(token=resolved_token),
+        )
+        response.raise_for_status()
+        payload = response.json()
+        if not isinstance(payload, list):
+            formatted = json.dumps(payload, ensure_ascii=False)[:200]
+            raise ValueError(
+                "Unexpected response format from unread notifications endpoint: "
+                f"{formatted}"
+            )
+        logger.info(
+            "Fetched %d unread notifications (page=%s, size=%s)",
+            len(payload),
+            page,
+            size,
+        )
+        return [self._ensure_dict(entry) for entry in payload]
+
+    async def mark_notifications_read(
+        self,
+        ids: list[int],
+        *,
+        token: str | None = None,
+    ) -> None:
+        """Mark the provided notifications as read for the authenticated user."""
+
+        if not ids:
+            raise ValueError(
+                "At least one notification identifier must be provided to mark as read."
+            )
+
+        sanitized_ids: list[int] = []
+        for value in ids:
+            if isinstance(value, bool):
+                raise ValueError("Notification identifiers must be integers, not booleans.")
+            try:
+                converted = int(value)
+            except (TypeError, ValueError) as exc:  # pragma: no cover - defensive
+                raise ValueError(
+                    "Notification identifiers must be integers."
+                ) from exc
+            if converted <= 0:
+                raise ValueError(
+                    "Notification identifiers must be positive integers."
+                )
+            sanitized_ids.append(converted)
+
+        client = self._get_client()
+        resolved_token = self._require_token(token)
+        logger.debug(
+            "Marking %d notifications as read: ids=%s",
+            len(sanitized_ids),
+            sanitized_ids,
+        )
+        response = await client.post(
+            "/api/notifications/read",
+            json={"ids": sanitized_ids},
+            headers=self._build_headers(token=resolved_token, include_json=True),
+        )
+        response.raise_for_status()
+        logger.info(
+            "Successfully marked %d notifications as read.",
+            len(sanitized_ids),
+        )
+
+    async def aclose(self) -> None:
+        """Dispose of the underlying HTTP client."""
+
+        if self._client is not None:
+            await self._client.aclose()
+            self._client = None
+            logger.debug("Closed httpx.AsyncClient for SearchClient.")
+
+    @staticmethod
+    def _ensure_dict(entry: Any) -> dict[str, Any]:
+        if not isinstance(entry, dict):
+            raise ValueError(f"Expected JSON object, got: {type(entry)!r}")
+        return entry

mcp/src/openisle_mcp/server.py

@@ -0,0 +1,977 @@
+"""Entry point for running the OpenIsle MCP server."""
+
+from __future__ import annotations
+
+import logging
+from contextlib import asynccontextmanager
+from typing import Annotated
+
+import httpx
+from mcp.server.fastmcp import Context, FastMCP
+from pydantic import ValidationError
+from pydantic import Field as PydanticField
+
+from .config import get_settings
+from .schemas import (
+    CommentCreateResult,
+    CommentData,
+    CommentReplyResult,
+    NotificationData,
+    NotificationCleanupResult,
+    UnreadNotificationsResponse,
+    PostDetail,
+    PostCreateResult,
+    PostSummary,
+    RecentPostsResponse,
+    SearchResponse,
+    SearchResultItem,
+)
+from .search_client import SearchClient
+
+settings = get_settings()
+if not logging.getLogger().handlers:
+    logging.basicConfig(
+        level=getattr(logging, settings.log_level.upper(), logging.INFO),
+        format="%(asctime)s | %(levelname)s | %(name)s | %(message)s",
+    )
+else:
+    logging.getLogger().setLevel(
+        getattr(logging, settings.log_level.upper(), logging.INFO)
+    )
+
+logger = logging.getLogger(__name__)
+
+search_client = SearchClient(
+    str(settings.backend_base_url),
+    timeout=settings.request_timeout,
+    access_token=(
+        settings.access_token.get_secret_value()
+        if settings.access_token is not None
+        else None
+    ),
+)
+
+
+@asynccontextmanager
+async def lifespan(_: FastMCP):
+    """Lifecycle hook that disposes shared resources when the server stops."""
+
+    try:
+        logger.debug("OpenIsle MCP server lifespan started.")
+        yield
+    finally:
+        logger.debug("Disposing shared SearchClient instance.")
+        await search_client.aclose()
+
+
+app = FastMCP(
+    name="openisle-mcp",
+    instructions=(
+        "Use this server to search OpenIsle content, create new posts, reply to posts and "
+        "comments with an authentication token, retrieve details for a specific post, list "
+        "posts created within a recent time window, and review unread notification messages."
+    ),
+    host=settings.host,
+    port=settings.port,
+    lifespan=lifespan,
+)
+
+
+@app.tool(
+    name="search",
+    description="Perform a global search across OpenIsle resources.",
+    structured_output=True,
+)
+async def search(
+    keyword: Annotated[str, PydanticField(description="Keyword to search for.")],
+    ctx: Context | None = None,
+) -> SearchResponse:
+    """Call the OpenIsle global search endpoint and return structured results."""
+
+    sanitized = keyword.strip()
+    if not sanitized:
+        raise ValueError("Keyword must not be empty.")
+
+    try:
+        logger.info("Received search request for keyword='%s'", sanitized)
+        raw_results = await search_client.global_search(sanitized)
+    except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
+        message = (
+            "OpenIsle backend returned HTTP "
+            f"{exc.response.status_code} while searching for '{sanitized}'."
+        )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+    except httpx.RequestError as exc:  # pragma: no cover - network errors
+        message = f"Unable to reach OpenIsle backend search service: {exc}."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    try:
+        results = [SearchResultItem.model_validate(entry) for entry in raw_results]
+    except ValidationError as exc:
+        message = "Received malformed data from the OpenIsle backend search endpoint."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    if ctx is not None:
+        await ctx.info(f"Search keyword '{sanitized}' returned {len(results)} results.")
+    logger.debug(
+        "Validated %d search results for keyword='%s'",
+        len(results),
+        sanitized,
+    )
+
+    return SearchResponse(keyword=sanitized, total=len(results), results=results)
+
+
+@app.tool(
+    name="reply_to_post",
+    description="Create a comment on a post using an authentication token.",
+    structured_output=True,
+)
+async def reply_to_post(
+    post_id: Annotated[
+        int,
+        PydanticField(ge=1, description="Identifier of the post being replied to."),
+    ],
+    content: Annotated[
+        str,
+        PydanticField(description="Markdown content of the reply."),
+    ],
+    captcha: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="Optional captcha solution if the backend requires it.",
+        ),
+    ] = None,
+    token: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description=(
+                "Optional JWT bearer token. When omitted the configured access token is used."
+            ),
+        ),
+    ] = None,
+    ctx: Context | None = None,
+) -> CommentCreateResult:
+    """Create a comment on a post and return the backend payload."""
+
+    sanitized_content = content.strip()
+    if not sanitized_content:
+        raise ValueError("Reply content must not be empty.")
+
+    sanitized_token = token.strip() if isinstance(token, str) else None
+    if sanitized_token == "":
+        sanitized_token = None
+
+    sanitized_captcha = captcha.strip() if isinstance(captcha, str) else None
+
+    try:
+        logger.info(
+            "Creating reply for post_id=%s (captcha=%s)",
+            post_id,
+            bool(sanitized_captcha),
+        )
+        raw_comment = await search_client.reply_to_post(
+            post_id,
+            sanitized_token,
+            sanitized_content,
+            sanitized_captcha,
+        )
+    except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
+        status_code = exc.response.status_code
+        if status_code == 401:
+            message = (
+                "Authentication failed while replying to post "
+                f"{post_id}. Please verify the token."
+            )
+        elif status_code == 403:
+            message = (
+                "The provided token is not authorized to reply to post "
+                f"{post_id}."
+            )
+        elif status_code == 404:
+            message = f"Post {post_id} was not found."
+        else:
+            message = (
+                "OpenIsle backend returned HTTP "
+                f"{status_code} while replying to post {post_id}."
+            )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+    except httpx.RequestError as exc:  # pragma: no cover - network errors
+        message = (
+            "Unable to reach OpenIsle backend comment service: "
+            f"{exc}."
+        )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    try:
+        comment = CommentData.model_validate(raw_comment)
+    except ValidationError as exc:
+        message = "Received malformed data from the post comment endpoint."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    if ctx is not None:
+        await ctx.info(
+            "Reply created successfully for post "
+            f"{post_id}."
+        )
+    logger.debug(
+        "Validated reply comment payload for post_id=%s (comment_id=%s)",
+        post_id,
+        comment.id,
+    )
+
+    return CommentCreateResult(comment=comment)
+
+
+@app.tool(
+    name="reply_to_comment",
+    description="Reply to an existing comment using an authentication token.",
+    structured_output=True,
+)
+async def reply_to_comment(
+    comment_id: Annotated[
+        int,
+        PydanticField(ge=1, description="Identifier of the comment being replied to."),
+    ],
+    content: Annotated[
+        str,
+        PydanticField(description="Markdown content of the reply."),
+    ],
+    captcha: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="Optional captcha solution if the backend requires it.",
+        ),
+    ] = None,
+    token: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description=(
+                "Optional JWT bearer token. When omitted the configured access token is used."
+            ),
+        ),
+    ] = None,
+    ctx: Context | None = None,
+) -> CommentReplyResult:
+    """Create a reply for a comment and return the backend payload."""
+
+    sanitized_content = content.strip()
+    if not sanitized_content:
+        raise ValueError("Reply content must not be empty.")
+
+    sanitized_token = token.strip() if isinstance(token, str) else None
+
+    sanitized_captcha = captcha.strip() if isinstance(captcha, str) else None
+
+    try:
+        logger.info(
+            "Creating reply for comment_id=%s (captcha=%s)",
+            comment_id,
+            bool(sanitized_captcha),
+        )
+        raw_comment = await search_client.reply_to_comment(
+            comment_id,
+            sanitized_token,
+            sanitized_content,
+            sanitized_captcha,
+        )
+    except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
+        status_code = exc.response.status_code
+        if status_code == 401:
+            message = (
+                "Authentication failed while replying to comment "
+                f"{comment_id}. Please verify the token."
+            )
+        elif status_code == 403:
+            message = (
+                "The provided token is not authorized to reply to comment "
+                f"{comment_id}."
+            )
+        else:
+            message = (
+                "OpenIsle backend returned HTTP "
+                f"{status_code} while replying to comment {comment_id}."
+            )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+    except httpx.RequestError as exc:  # pragma: no cover - network errors
+        message = (
+            "Unable to reach OpenIsle backend comment service: "
+            f"{exc}."
+        )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    try:
+        comment = CommentData.model_validate(raw_comment)
+    except ValidationError as exc:
+        message = "Received malformed data from the reply comment endpoint."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    if ctx is not None:
+        await ctx.info(
+            "Reply created successfully for comment "
+            f"{comment_id}."
+        )
+    logger.debug(
+        "Validated reply payload for comment_id=%s (reply_id=%s)",
+        comment_id,
+        comment.id,
+    )
+
+    return CommentReplyResult(comment=comment)
+
+
+@app.tool(
+    name="create_post",
+    description="Publish a new post using an authentication token.",
+    structured_output=True,
+)
+async def create_post(
+    title: Annotated[
+        str,
+        PydanticField(description="Title of the post to be created."),
+    ],
+    content: Annotated[
+        str,
+        PydanticField(description="Markdown content of the post."),
+    ],
+    category_id: Annotated[
+        int | None,
+        PydanticField(
+            default=None,
+            ge=1,
+            description="Optional category identifier for the post.",
+        ),
+    ] = None,
+    tag_ids: Annotated[
+        list[int] | None,
+        PydanticField(
+            default=None,
+            min_length=1,
+            description="Optional list of tag identifiers to assign to the post.",
+        ),
+    ] = None,
+    post_type: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="Optional post type value (e.g. LOTTERY, POLL).",
+        ),
+    ] = None,
+    visible_scope: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="Optional visibility scope for the post.",
+        ),
+    ] = None,
+    prize_description: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="Description of the prize for lottery posts.",
+        ),
+    ] = None,
+    prize_icon: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="Icon URL for the lottery prize.",
+        ),
+    ] = None,
+    prize_count: Annotated[
+        int | None,
+        PydanticField(
+            default=None,
+            ge=1,
+            description="Total number of prizes available for lottery posts.",
+        ),
+    ] = None,
+    point_cost: Annotated[
+        int | None,
+        PydanticField(
+            default=None,
+            ge=0,
+            description="Point cost required to participate in the post, when applicable.",
+        ),
+    ] = None,
+    start_time: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="ISO 8601 start time for lottery or poll posts.",
+        ),
+    ] = None,
+    end_time: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="ISO 8601 end time for lottery or poll posts.",
+        ),
+    ] = None,
+    options: Annotated[
+        list[str] | None,
+        PydanticField(
+            default=None,
+            min_length=1,
+            description="Poll options when creating a poll post.",
+        ),
+    ] = None,
+    multiple: Annotated[
+        bool | None,
+        PydanticField(
+            default=None,
+            description="Whether the poll allows selecting multiple options.",
+        ),
+    ] = None,
+    proposed_name: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="Proposed category name for suggestion posts.",
+        ),
+    ] = None,
+    proposal_description: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="Supporting description for the proposed category.",
+        ),
+    ] = None,
+    captcha: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="Captcha solution if the backend requires one to create posts.",
+        ),
+    ] = None,
+    token: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description=(
+                "Optional JWT bearer token. When omitted the configured access token is used."
+            ),
+        ),
+    ] = None,
+    ctx: Context | None = None,
+) -> PostCreateResult:
+    """Create a new post in OpenIsle and return the detailed backend payload."""
+
+    sanitized_title = title.strip()
+    if not sanitized_title:
+        raise ValueError("Post title must not be empty.")
+
+    sanitized_content = content.strip()
+    if not sanitized_content:
+        raise ValueError("Post content must not be empty.")
+
+    sanitized_token = token.strip() if isinstance(token, str) else None
+    if sanitized_token == "":
+        sanitized_token = None
+
+    sanitized_category_id: int | None = None
+    if category_id is not None:
+        if isinstance(category_id, bool):
+            raise ValueError("Category identifier must be an integer, not a boolean.")
+        try:
+            sanitized_category_id = int(category_id)
+        except (TypeError, ValueError) as exc:
+            raise ValueError("Category identifier must be an integer.") from exc
+        if sanitized_category_id <= 0:
+            raise ValueError("Category identifier must be a positive integer.")
+
+    sanitized_tag_ids: list[int] | None = None
+    if tag_ids is not None:
+        sanitized_tag_ids = []
+        for value in tag_ids:
+            if isinstance(value, bool):
+                raise ValueError("Tag identifiers must be integers, not booleans.")
+            try:
+                converted = int(value)
+            except (TypeError, ValueError) as exc:
+                raise ValueError("Tag identifiers must be integers.") from exc
+            if converted <= 0:
+                raise ValueError("Tag identifiers must be positive integers.")
+            sanitized_tag_ids.append(converted)
+        if not sanitized_tag_ids:
+            sanitized_tag_ids = None
+
+    sanitized_post_type = post_type.strip() if isinstance(post_type, str) else None
+    if sanitized_post_type == "":
+        sanitized_post_type = None
+
+    sanitized_visible_scope = (
+        visible_scope.strip() if isinstance(visible_scope, str) else None
+    )
+    if sanitized_visible_scope == "":
+        sanitized_visible_scope = None
+
+    sanitized_prize_description = (
+        prize_description.strip() if isinstance(prize_description, str) else None
+    )
+    if sanitized_prize_description == "":
+        sanitized_prize_description = None
+
+    sanitized_prize_icon = prize_icon.strip() if isinstance(prize_icon, str) else None
+    if sanitized_prize_icon == "":
+        sanitized_prize_icon = None
+
+    sanitized_prize_count: int | None = None
+    if prize_count is not None:
+        if isinstance(prize_count, bool):
+            raise ValueError("Prize count must be an integer, not a boolean.")
+        try:
+            sanitized_prize_count = int(prize_count)
+        except (TypeError, ValueError) as exc:
+            raise ValueError("Prize count must be an integer.") from exc
+        if sanitized_prize_count <= 0:
+            raise ValueError("Prize count must be a positive integer.")
+
+    sanitized_point_cost: int | None = None
+    if point_cost is not None:
+        if isinstance(point_cost, bool):
+            raise ValueError("Point cost must be an integer, not a boolean.")
+        try:
+            sanitized_point_cost = int(point_cost)
+        except (TypeError, ValueError) as exc:
+            raise ValueError("Point cost must be an integer.") from exc
+        if sanitized_point_cost < 0:
+            raise ValueError("Point cost cannot be negative.")
+
+    sanitized_start_time = start_time.strip() if isinstance(start_time, str) else None
+    if sanitized_start_time == "":
+        sanitized_start_time = None
+
+    sanitized_end_time = end_time.strip() if isinstance(end_time, str) else None
+    if sanitized_end_time == "":
+        sanitized_end_time = None
+
+    sanitized_options: list[str] | None = None
+    if options is not None:
+        sanitized_options = []
+        for option in options:
+            if option is None:
+                continue
+            stripped_option = option.strip()
+            if stripped_option:
+                sanitized_options.append(stripped_option)
+        if not sanitized_options:
+            sanitized_options = None
+
+    sanitized_multiple = bool(multiple) if isinstance(multiple, bool) else None
+
+    sanitized_proposed_name = (
+        proposed_name.strip() if isinstance(proposed_name, str) else None
+    )
+    if sanitized_proposed_name == "":
+        sanitized_proposed_name = None
+
+    sanitized_proposal_description = (
+        proposal_description.strip() if isinstance(proposal_description, str) else None
+    )
+    if sanitized_proposal_description == "":
+        sanitized_proposal_description = None
+
+    sanitized_captcha = captcha.strip() if isinstance(captcha, str) else None
+    if sanitized_captcha == "":
+        sanitized_captcha = None
+
+    payload: dict[str, object] = {
+        "title": sanitized_title,
+        "content": sanitized_content,
+    }
+    if sanitized_category_id is not None:
+        payload["categoryId"] = sanitized_category_id
+    if sanitized_tag_ids is not None:
+        payload["tagIds"] = sanitized_tag_ids
+    if sanitized_post_type is not None:
+        payload["type"] = sanitized_post_type
+    if sanitized_visible_scope is not None:
+        payload["postVisibleScopeType"] = sanitized_visible_scope
+    if sanitized_prize_description is not None:
+        payload["prizeDescription"] = sanitized_prize_description
+    if sanitized_prize_icon is not None:
+        payload["prizeIcon"] = sanitized_prize_icon
+    if sanitized_prize_count is not None:
+        payload["prizeCount"] = sanitized_prize_count
+    if sanitized_point_cost is not None:
+        payload["pointCost"] = sanitized_point_cost
+    if sanitized_start_time is not None:
+        payload["startTime"] = sanitized_start_time
+    if sanitized_end_time is not None:
+        payload["endTime"] = sanitized_end_time
+    if sanitized_options is not None:
+        payload["options"] = sanitized_options
+    if sanitized_multiple is not None:
+        payload["multiple"] = sanitized_multiple
+    if sanitized_proposed_name is not None:
+        payload["proposedName"] = sanitized_proposed_name
+    if sanitized_proposal_description is not None:
+        payload["proposalDescription"] = sanitized_proposal_description
+    if sanitized_captcha is not None:
+        payload["captcha"] = sanitized_captcha
+
+    try:
+        logger.info("Creating post with title='%s'", sanitized_title)
+        raw_post = await search_client.create_post(payload, token=sanitized_token)
+    except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
+        status_code = exc.response.status_code
+        if status_code == 400:
+            message = (
+                "Post creation failed due to invalid input or captcha verification errors."
+            )
+        elif status_code == 401:
+            message = "Authentication failed while creating the post. Please verify the token."
+        elif status_code == 403:
+            message = "The provided token is not authorized to create posts."
+        else:
+            message = (
+                "OpenIsle backend returned HTTP "
+                f"{status_code} while creating the post."
+            )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+    except httpx.RequestError as exc:  # pragma: no cover - network errors
+        message = f"Unable to reach OpenIsle backend post service: {exc}."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    try:
+        post = PostDetail.model_validate(raw_post)
+    except ValidationError as exc:
+        message = "Received malformed data from the post creation endpoint."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    if ctx is not None:
+        await ctx.info(f"Post '{post.title}' created successfully.")
+    logger.debug(
+        "Validated created post payload with id=%s and title='%s'",
+        post.id,
+        post.title,
+    )
+
+    return PostCreateResult(post=post)
+
+
+@app.tool(
+    name="recent_posts",
+    description="Retrieve posts created in the last N minutes.",
+    structured_output=True,
+)
+async def recent_posts(
+    minutes: Annotated[
+        int,
+        PydanticField(gt=0, le=1440, description="Time window in minutes to search for new posts."),
+    ],
+    ctx: Context | None = None,
+) -> RecentPostsResponse:
+    """Fetch recent posts from the backend and return structured data."""
+
+    try:
+        logger.info("Fetching recent posts for last %s minutes", minutes)
+        raw_posts = await search_client.recent_posts(minutes)
+    except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
+        message = (
+            "OpenIsle backend returned HTTP "
+            f"{exc.response.status_code} while fetching recent posts for the last {minutes} minutes."
+        )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+    except httpx.RequestError as exc:  # pragma: no cover - network errors
+        message = f"Unable to reach OpenIsle backend recent posts service: {exc}."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    try:
+        posts = [PostSummary.model_validate(entry) for entry in raw_posts]
+    except ValidationError as exc:
+        message = "Received malformed data from the recent posts endpoint."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    if ctx is not None:
+        await ctx.info(
+            f"Found {len(posts)} posts created within the last {minutes} minutes."
+        )
+    logger.debug(
+        "Validated %d recent posts for window=%s minutes",
+        len(posts),
+        minutes,
+    )
+
+    return RecentPostsResponse(minutes=minutes, total=len(posts), posts=posts)
+
+
+@app.tool(
+    name="get_post",
+    description="Retrieve detailed information for a single post.",
+    structured_output=True,
+)
+async def get_post(
+    post_id: Annotated[
+        int,
+        PydanticField(ge=1, description="Identifier of the post to retrieve."),
+    ],
+    token: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description="Optional JWT bearer token to view the post as an authenticated user.",
+        ),
+    ] = None,
+    ctx: Context | None = None,
+) -> PostDetail:
+    """Fetch post details from the backend and validate the response."""
+
+    sanitized_token = token.strip() if isinstance(token, str) else None
+    if sanitized_token == "":
+        sanitized_token = None
+
+    try:
+        logger.info("Fetching post details for post_id=%s", post_id)
+        raw_post = await search_client.get_post(post_id, sanitized_token)
+    except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
+        status_code = exc.response.status_code
+        if status_code == 404:
+            message = f"Post {post_id} was not found."
+        elif status_code == 401:
+            message = "Authentication failed while retrieving the post."
+        elif status_code == 403:
+            message = "The provided token is not authorized to view this post."
+        else:
+            message = (
+                "OpenIsle backend returned HTTP "
+                f"{status_code} while retrieving post {post_id}."
+            )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+    except httpx.RequestError as exc:  # pragma: no cover - network errors
+        message = f"Unable to reach OpenIsle backend post service: {exc}."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    try:
+        post = PostDetail.model_validate(raw_post)
+    except ValidationError as exc:
+        message = "Received malformed data from the post detail endpoint."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    if ctx is not None:
+        await ctx.info(f"Retrieved post {post_id} successfully.")
+    logger.debug(
+        "Validated post payload for post_id=%s with %d comments",
+        post_id,
+        len(post.comments),
+    )
+
+    return post
+
+
+@app.tool(
+    name="list_unread_messages",
+    description="List unread notification messages for the authenticated user.",
+    structured_output=True,
+)
+async def list_unread_messages(
+    page: Annotated[
+        int,
+        PydanticField(
+            default=0,
+            ge=0,
+            description="Page number of unread notifications to retrieve.",
+        ),
+    ] = 0,
+    size: Annotated[
+        int,
+        PydanticField(
+            default=30,
+            ge=1,
+            le=100,
+            description="Number of unread notifications to include per page.",
+        ),
+    ] = 30,
+    token: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description=(
+                "Optional JWT bearer token. When omitted the configured access token is used."
+            ),
+        ),
+    ] = None,
+    ctx: Context | None = None,
+) -> UnreadNotificationsResponse:
+    """Retrieve unread notifications and return structured data."""
+
+    sanitized_token = token.strip() if isinstance(token, str) else None
+
+    try:
+        logger.info(
+            "Fetching unread notifications (page=%s, size=%s)",
+            page,
+            size,
+        )
+        raw_notifications = await search_client.list_unread_notifications(
+            page=page,
+            size=size,
+            token=sanitized_token,
+        )
+    except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
+        message = (
+            "OpenIsle backend returned HTTP "
+            f"{exc.response.status_code} while fetching unread notifications."
+        )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+    except httpx.RequestError as exc:  # pragma: no cover - network errors
+        message = f"Unable to reach OpenIsle backend notification service: {exc}."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    try:
+        notifications = [
+            NotificationData.model_validate(entry) for entry in raw_notifications
+        ]
+    except ValidationError as exc:
+        message = "Received malformed data from the unread notifications endpoint."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    total = len(notifications)
+    if ctx is not None:
+        await ctx.info(
+            f"Retrieved {total} unread notifications (page {page}, size {size})."
+        )
+    logger.debug(
+        "Validated %d unread notifications for page=%s size=%s",
+        total,
+        page,
+        size,
+    )
+
+    return UnreadNotificationsResponse(
+        page=page,
+        size=size,
+        total=total,
+        notifications=notifications,
+    )
+
+
+@app.tool(
+    name="mark_notifications_read",
+    description="Mark specific notification messages as read to remove them from the unread list.",
+    structured_output=True,
+)
+async def mark_notifications_read(
+    ids: Annotated[
+        list[int],
+        PydanticField(
+            min_length=1,
+            description="Notification identifiers that should be marked as read.",
+        ),
+    ],
+    token: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description=(
+                "Optional JWT bearer token. When omitted the configured access token is used."
+            ),
+        ),
+    ] = None,
+    ctx: Context | None = None,
+) -> NotificationCleanupResult:
+    """Mark the supplied notifications as read and report the processed identifiers."""
+
+    sanitized_token = token.strip() if isinstance(token, str) else None
+    if sanitized_token == "":
+        sanitized_token = None
+
+    try:
+        logger.info(
+            "Marking %d notifications as read",  # pragma: no branch - logging
+            len(ids),
+        )
+        await search_client.mark_notifications_read(ids, token=sanitized_token)
+    except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
+        message = (
+            "OpenIsle backend returned HTTP "
+            f"{exc.response.status_code} while marking notifications as read."
+        )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+    except httpx.RequestError as exc:  # pragma: no cover - network errors
+        message = f"Unable to reach OpenIsle backend notification service: {exc}."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    processed_ids: list[int] = []
+    for value in ids:
+        if isinstance(value, bool):
+            raise ValueError("Notification identifiers must be integers, not booleans.")
+        converted = int(value)
+        if converted <= 0:
+            raise ValueError("Notification identifiers must be positive integers.")
+        processed_ids.append(converted)
+    if ctx is not None:
+        await ctx.info(
+            f"Marked {len(processed_ids)} notifications as read.",
+        )
+    logger.debug(
+        "Successfully marked notifications as read: ids=%s",
+        processed_ids,
+    )
+
+    return NotificationCleanupResult(
+        processed_ids=processed_ids,
+        total_marked=len(processed_ids),
+    )
+
+
+def main() -> None:
+    """Run the MCP server using the configured transport."""
+
+    app.run(transport=settings.transport)
+
+
+if __name__ == "__main__":  # pragma: no cover - manual execution
+    main()
+

nginx/openisle

@@ -100,10 +100,28 @@ server {
         # auth_basic_user_file /etc/nginx/.htpasswd;
     }
 
-
-    # ---------- WEBSOCKET GATEWAY TO :8082 ----------
     location ^~ /websocket/ {
-        proxy_pass         http://127.0.0.1:8084/; 
+        proxy_pass         http://127.0.0.1:8084/;
+        proxy_http_version 1.1;
+
+        proxy_set_header   Upgrade              $http_upgrade;
+        proxy_set_header   Connection           $connection_upgrade;
+
+        proxy_set_header   Host                 $host;
+        proxy_set_header   X-Real-IP            $remote_addr;
+        proxy_set_header   X-Forwarded-For      $proxy_add_x_forwarded_for;
+        proxy_set_header   X-Forwarded-Proto    $scheme;
+        proxy_set_header   X-Forwarded-Host     $host;
+
+        proxy_read_timeout 300s;
+        proxy_send_timeout 300s;
+        proxy_buffering    off;
+        proxy_cache        off;
+        add_header         Cache-Control "no-store" always;
+    }
+
+    location /mcp {
+        proxy_pass         http://127.0.0.1:8085;
         proxy_http_version 1.1;
 
         proxy_set_header   Upgrade              $http_upgrade;

nginx/openisle-staging

@@ -8,11 +8,8 @@ server {
     listen 443 ssl;
     server_name staging.open-isle.com www.staging.open-isle.com;
 
-
     ssl_certificate     /etc/letsencrypt/live/staging.open-isle.com/fullchain.pem;
     ssl_certificate_key /etc/letsencrypt/live/staging.open-isle.com/privkey.pem;
-    # ssl_certificate     /etc/letsencrypt/live/open-isle.com/fullchain.pem;
-    # ssl_certificate_key /etc/letsencrypt/live/open-isle.com/privkey.pem;
     include /etc/letsencrypt/options-ssl-nginx.conf;
     ssl_dhparam /etc/letsencrypt/ssl-dhparams.pem;
 
@@ -40,59 +37,13 @@ server {
         add_header X-Upstream $upstream_addr always;
     }
 
-    # 1) 原生 WebSocket
-    location ^~ /api/ws {
-        proxy_pass         http://127.0.0.1:8081;  # 不要尾随 /，保留原样 URI
-        proxy_http_version 1.1;
-
-        # 升级所需
-        proxy_set_header   Upgrade              $http_upgrade;
-        proxy_set_header   Connection           $connection_upgrade;
-
-        # 统一透传这些头（你在 /api/ 有，/api/ws 也要有）
-        proxy_set_header   Host                 $host;
-        proxy_set_header   X-Real-IP            $remote_addr;
-        proxy_set_header   X-Forwarded-For      $proxy_add_x_forwarded_for;
-        proxy_set_header   X-Forwarded-Proto    $scheme;
-        proxy_set_header   X-Forwarded-Host     $host;
-
-        proxy_read_timeout 300s;
-        proxy_send_timeout 300s;
-        proxy_buffering    off;
-        proxy_cache        off;
-    }
-
-    # 2) SockJS（包含 /info、/iframe.html、/.../websocket 等）
-    location ^~ /api/sockjs {
-        proxy_pass         http://127.0.0.1:8081;
-        proxy_http_version 1.1;
-
-        proxy_set_header   Upgrade              $http_upgrade;
-        proxy_set_header   Connection           $connection_upgrade;
-
-        proxy_set_header   Host                 $host;
-        proxy_set_header   X-Real-IP            $remote_addr;
-        proxy_set_header   X-Forwarded-For      $proxy_add_x_forwarded_for;
-        proxy_set_header   X-Forwarded-Proto    $scheme;
-        proxy_set_header   X-Forwarded-Host     $host;
-
-        proxy_read_timeout 300s;
-        proxy_send_timeout 300s;
-        proxy_buffering    off;
-        proxy_cache        off;
-
-        # 如要同源 iframe 回退，下面两行二选一（或者交给 Spring Security 的 sameOrigin）
-        # proxy_hide_header  X-Frame-Options;
-        # add_header         X-Frame-Options "SAMEORIGIN" always;
-    }    
-
     # ---------- API ----------
     location /api/ {
         proxy_pass http://127.0.0.1:8081/api/;
         proxy_http_version 1.1;
 
-    	proxy_set_header Upgrade $http_upgrade;
-    	proxy_set_header Connection $connection_upgrade;
+        proxy_set_header Upgrade $http_upgrade;
+        proxy_set_header Connection $connection_upgrade;
 
 
         proxy_set_header Host              $host;
@@ -109,7 +60,6 @@ server {
         proxy_cache_bypass 1;
     }
 
-    # ---------- WEBSOCKET GATEWAY TO :8083 ----------
     location ^~ /websocket/ {
         proxy_pass         http://127.0.0.1:8083/;
         proxy_http_version 1.1;
@@ -130,4 +80,24 @@ server {
         add_header         Cache-Control "no-store" always;
     }
 
-}
+    location /mcp {
+        proxy_pass         http://127.0.0.1:8086;
+        proxy_http_version 1.1;
+
+        proxy_set_header   Upgrade              $http_upgrade;
+        proxy_set_header   Connection           $connection_upgrade;
+
+        proxy_set_header   Host                 $host;
+        proxy_set_header   X-Real-IP            $remote_addr;
+        proxy_set_header   X-Forwarded-For      $proxy_add_x_forwarded_for;
+        proxy_set_header   X-Forwarded-Proto    $scheme;
+        proxy_set_header   X-Forwarded-Host     $host;
+
+        proxy_read_timeout 300s;
+        proxy_send_timeout 300s;
+        proxy_buffering    off;
+        proxy_cache        off;
+        add_header         Cache-Control "no-store" always;
+    }
+
+}