feat: add MCP search service

.env.example

@@ -2,11 +2,15 @@
 SERVER_PORT=8080
 FRONTEND_PORT=3000
 WEBSOCKET_PORT=8082
-OPENISLE_MCP_PORT=8085
+MCP_PORT=9090
 MYSQL_PORT=3306
 REDIS_PORT=6379
 RABBITMQ_PORT=5672
 RABBITMQ_MANAGEMENT_PORT=15672
+MCP_HOST=0.0.0.0
+MCP_BACKEND_BASE_URL=http://springboot:8080
+MCP_CONNECT_TIMEOUT=5
+MCP_READ_TIMEOUT=10
 
 # === OpenSearch Configuration ===
 OPENSEARCH_PORT=9200

.github/workflows/coffee-bot.yml

@@ -1,29 +0,0 @@
-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

@@ -1,29 +0,0 @@
-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

@@ -1,13 +1,11 @@
 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.*;
@@ -42,7 +40,6 @@ 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;
@@ -187,37 +184,6 @@ 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

@@ -224,26 +224,6 @@ 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

@@ -1,15 +0,0 @@
-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

@@ -3,7 +3,6 @@ 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;
@@ -11,10 +10,6 @@ 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

@@ -19,10 +19,6 @@ 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

@@ -266,27 +266,6 @@ 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

@@ -770,18 +770,6 @@ 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

@@ -1,150 +0,0 @@
-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

@@ -1,63 +0,0 @@
-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

@@ -1,39 +0,0 @@
-// 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 mcp
+  frontend_service mcp-service
 
 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 mcp
+  mysql redis rabbitmq websocket-service springboot mcp-service frontend_service
 
 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 mcp
+  frontend_service mcp-service
 
 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 mcp
+  mysql redis rabbitmq websocket-service springboot mcp-service frontend_service
 
 echo "👉 Current status:"
 docker compose -f "$compose_file" --env-file "$env_file" ps

docker/docker-compose.yaml

@@ -178,32 +178,38 @@ services:
       - dev
       - prod
 
-  mcp:
+  mcp-service:
     build:
       context: ..
-      dockerfile: docker/mcp.Dockerfile
+      dockerfile: 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}
+      MCP_HOST: ${MCP_HOST:-0.0.0.0}
+      MCP_PORT: ${MCP_PORT:-9090}
+      MCP_BACKEND_BASE_URL: ${MCP_BACKEND_BASE_URL:-http://springboot:8080}
+      MCP_CONNECT_TIMEOUT: ${MCP_CONNECT_TIMEOUT:-5}
+      MCP_READ_TIMEOUT: ${MCP_READ_TIMEOUT:-10}
     ports:
-      - "${OPENISLE_MCP_PORT:-8085}:${OPENISLE_MCP_PORT:-8085}"
+      - "${MCP_PORT:-9090}:${MCP_PORT:-9090}"
     depends_on:
       springboot:
-        condition: service_started
+        condition: service_healthy
+    command: ["openisle-mcp"]
+    healthcheck:
+      test: ["CMD-SHELL", "curl -fsS http://127.0.0.1:${MCP_PORT:-9090}/healthz || exit 1"]
+      interval: 10s
+      timeout: 5s
+      retries: 30
+      start_period: 20s
+    restart: unless-stopped
     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

@@ -1,21 +0,0 @@
-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/Dockerfile

@@ -0,0 +1,21 @@
+FROM python:3.11-slim
+
+ENV PYTHONDONTWRITEBYTECODE=1 \
+    PYTHONUNBUFFERED=1
+
+WORKDIR /app
+
+RUN apt-get update \
+    && apt-get install -y --no-install-recommends curl \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY mcp/pyproject.toml ./pyproject.toml
+COPY mcp/README.md ./README.md
+COPY mcp/src ./src
+
+RUN pip install --no-cache-dir --upgrade pip \
+    && pip install --no-cache-dir .
+
+EXPOSE 9090
+
+CMD ["openisle-mcp"]

mcp/README.md

@@ -1,42 +1,34 @@
-# OpenIsle MCP Server
+# OpenIsle MCP Service
 
-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.
+This package hosts a lightweight Python service that exposes OpenIsle search
+capabilities through a Model Context Protocol (MCP) compatible HTTP interface.
+It currently forwards search requests to the main Spring Boot backend and
+returns the aggregated results. The service is intentionally simple so we can
+iterate quickly and extend it with additional tools (for example, post
+creation) in future updates.
 
-## 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
+## Local development
 
 ```bash
-pip install .
-OPENISLE_MCP_BACKEND_BASE_URL="http://localhost:8080" openisle-mcp
+pip install -e ./mcp
+openisle-mcp
 ```
 
-By default the server listens on port `8085` and serves MCP over Streamable HTTP.
+By default the server listens on port `9090` and expects the Spring Boot backend
+at `http://localhost:8080`. Configure the behaviour with the following
+environment variables:
 
-## Available tools
+- `MCP_PORT` – HTTP port the MCP service should listen on (default: `9090`).
+- `MCP_HOST` – Bind host for the HTTP server (default: `0.0.0.0`).
+- `MCP_BACKEND_BASE_URL` – Base URL of the Spring Boot backend that provides the
+  search endpoints (default: `http://springboot:8080`).
+- `MCP_CONNECT_TIMEOUT` – Connection timeout (seconds) when calling the backend
+  (default: `5`).
+- `MCP_READ_TIMEOUT` – Read timeout (seconds) when calling the backend (default:
+  `10`).
 
-| 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.
+## Docker
 
+The repository contains a Dockerfile that builds a slim Python image running the
+service with `uvicorn`. The compose configuration wires the container into the
+existing OpenIsle stack so that deployments automatically start the MCP service.

mcp/pyproject.toml

@@ -1,27 +1,25 @@
 [build-system]
-requires = ["hatchling>=1.25"]
+requires = ["hatchling>=1.21.0"]
 build-backend = "hatchling.build"
 
 [project]
 name = "openisle-mcp"
 version = "0.1.0"
-description = "Model Context Protocol server exposing OpenIsle search capabilities."
+description = "Model Context Protocol server exposing OpenIsle search capabilities"
 readme = "README.md"
-authors = [{ name = "OpenIsle", email = "engineering@openisle.example" }]
+authors = [
+  { name = "OpenIsle" }
+]
 requires-python = ">=3.11"
 dependencies = [
-  "mcp>=1.19.0",
-  "httpx>=0.28,<0.29",
-  "pydantic>=2.12,<3",
-  "pydantic-settings>=2.11,<3"
+  "fastapi>=0.111.0,<1.0.0",
+  "uvicorn[standard]>=0.29.0,<0.31.0",
+  "httpx>=0.27.0,<0.28.0",
+  "pydantic>=2.7.0,<3.0.0"
 ]
 
 [project.scripts]
-openisle-mcp = "openisle_mcp.server:main"
+openisle-mcp = "openisle_mcp.__main__:main"
 
-[tool.hatch.build]
+[tool.hatch.build.targets.wheel]
 packages = ["src/openisle_mcp"]
-
-[tool.ruff]
-line-length = 100
-

mcp/src/openisle_mcp/__init__.py

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

mcp/src/openisle_mcp/__main__.py

@@ -0,0 +1,24 @@
+"""Entrypoint for running the MCP service with ``python -m``."""
+
+from __future__ import annotations
+
+import logging
+
+import uvicorn
+
+from .config import get_settings
+
+
+def main() -> None:
+    settings = get_settings()
+    logging.basicConfig(level=logging.INFO)
+    uvicorn.run(
+        "openisle_mcp.server:create_app",
+        host=settings.host,
+        port=settings.port,
+        factory=True,
+    )
+
+
+if __name__ == "__main__":  # pragma: no cover
+    main()

mcp/src/openisle_mcp/client.py

@@ -0,0 +1,44 @@
+"""HTTP client helpers for talking to the Spring Boot backend."""
+
+from __future__ import annotations
+
+import logging
+from typing import Any
+
+import httpx
+
+from .config import Settings
+
+LOGGER = logging.getLogger(__name__)
+
+
+class SearchClient:
+    """Wrapper around :class:`httpx.AsyncClient` for search operations."""
+
+    def __init__(self, settings: Settings):
+        timeout = httpx.Timeout(
+            connect=settings.connect_timeout,
+            read=settings.read_timeout,
+            write=settings.read_timeout,
+            pool=None,
+        )
+        self._client = httpx.AsyncClient(
+            base_url=settings.normalized_backend_base_url,
+            timeout=timeout,
+        )
+
+    async def close(self) -> None:
+        await self._client.aclose()
+
+    async def global_search(self, keyword: str) -> list[dict[str, Any]]:
+        LOGGER.debug("Performing global search for keyword '%s'", keyword)
+        response = await self._client.get("/api/search/global", params={"keyword": keyword})
+        response.raise_for_status()
+        payload = response.json()
+        if isinstance(payload, list):
+            return payload
+        LOGGER.warning("Unexpected payload type from backend: %s", type(payload))
+        return []
+
+
+__all__ = ["SearchClient"]

mcp/src/openisle_mcp/config.py

@@ -1,66 +1,71 @@
-"""Application configuration helpers for the OpenIsle MCP server."""
+"""Configuration helpers for the MCP service."""
 
 from __future__ import annotations
 
+import os
 from functools import lru_cache
-from typing import Literal
+from typing import Any
 
-from pydantic import Field, SecretStr
-from pydantic.networks import AnyHttpUrl
-from pydantic_settings import BaseSettings, SettingsConfigDict
+from pydantic import BaseModel, ConfigDict, Field, ValidationError
 
 
-class Settings(BaseSettings):
-    """Configuration for the MCP server."""
+class Settings(BaseModel):
+    """Application settings sourced from environment variables."""
 
-    backend_base_url: AnyHttpUrl = Field(
-        "http://springboot:8080",
-        description="Base URL for the OpenIsle backend service.",
+    host: str = Field(default="0.0.0.0", description="Host to bind the HTTP server to")
+    port: int = Field(default=9090, ge=1, le=65535, description="Port exposed by the MCP server")
+    backend_base_url: str = Field(
+        default="http://springboot:8080",
+        description="Base URL of the Spring Boot backend that provides search endpoints",
     )
-    host: str = Field(
-        "0.0.0.0",
-        description="Host interface to bind when running with HTTP transports.",
+    connect_timeout: float = Field(
+        default=5.0,
+        ge=0.0,
+        description="Connection timeout when communicating with the backend (seconds)",
     )
-    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)."
-        ),
+    read_timeout: float = Field(
+        default=10.0,
+        ge=0.0,
+        description="Read timeout when communicating with the backend (seconds)",
     )
 
-    model_config = SettingsConfigDict(
-        env_prefix="OPENISLE_MCP_",
-        env_file=".env",
-        env_file_encoding="utf-8",
-        case_sensitive=False,
-    )
+    model_config = ConfigDict(extra="ignore")
+
+    @property
+    def normalized_backend_base_url(self) -> str:
+        """Return the backend base URL without a trailing slash."""
+
+        return self.backend_base_url.rstrip("/")
+
+
+ENV_MAPPING: dict[str, str] = {
+    "host": "MCP_HOST",
+    "port": "MCP_PORT",
+    "backend_base_url": "MCP_BACKEND_BASE_URL",
+    "connect_timeout": "MCP_CONNECT_TIMEOUT",
+    "read_timeout": "MCP_READ_TIMEOUT",
+}
+
+
+def _load_environment_values() -> dict[str, Any]:
+    values: dict[str, Any] = {}
+    for field, env_name in ENV_MAPPING.items():
+        value = os.getenv(env_name)
+        if value is None:
+            continue
+        values[field] = value
+    return values
 
 
 @lru_cache(maxsize=1)
 def get_settings() -> Settings:
-    """Return cached application settings."""
+    """Load and validate application settings."""
 
-    return Settings()
+    values = _load_environment_values()
+    try:
+        return Settings(**values)
+    except ValidationError as exc:  # pragma: no cover - defensive branch
+        raise RuntimeError("Invalid MCP configuration") from exc
+
+
+__all__ = ["Settings", "get_settings"]

mcp/src/openisle_mcp/models.py

@@ -0,0 +1,38 @@
+"""Pydantic models shared across the MCP service."""
+
+from __future__ import annotations
+
+from typing import Optional
+
+from pydantic import BaseModel, ConfigDict, Field
+
+
+class SearchResult(BaseModel):
+    """Representation of a single search result entry."""
+
+    model_config = ConfigDict(extra="ignore")
+
+    type: Optional[str] = Field(default=None, description="Type of the result entry")
+    id: Optional[int] = Field(default=None, description="Identifier of the result entry")
+    text: Optional[str] = Field(default=None, description="Primary text of the result entry")
+    subText: Optional[str] = Field(default=None, description="Secondary text associated with the result")
+    extra: Optional[str] = Field(default=None, description="Additional information about the result")
+    postId: Optional[int] = Field(default=None, description="Related post identifier, if applicable")
+    highlightedText: Optional[str] = Field(default=None, description="Highlighted primary text segment")
+    highlightedSubText: Optional[str] = Field(
+        default=None,
+        description="Highlighted secondary text segment",
+    )
+    highlightedExtra: Optional[str] = Field(
+        default=None,
+        description="Highlighted additional information",
+    )
+
+
+class SearchResponse(BaseModel):
+    """Response payload returned by the search endpoint."""
+
+    results: list[SearchResult] = Field(default_factory=list)
+
+
+__all__ = ["SearchResult", "SearchResponse"]

mcp/src/openisle_mcp/schemas.py

@@ -1,378 +0,0 @@
-"""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

@@ -1,345 +0,0 @@
-"""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. Provide a Bearer token "
-                "via the MCP Authorization header or configure a default token for the server."
-            )
-        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,
-        content: str,
-        *,
-        token: str | None = None,
-        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,
-        content: str,
-        *,
-        token: str | None = None,
-        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

nginx/openisle

@@ -100,28 +100,10 @@ server {
         # auth_basic_user_file /etc/nginx/.htpasswd;
     }
 
+
+    # ---------- WEBSOCKET GATEWAY TO :8082 ----------
     location ^~ /websocket/ {
-        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_pass         http://127.0.0.1:8084/; 
         proxy_http_version 1.1;
 
         proxy_set_header   Upgrade              $http_upgrade;

nginx/openisle-staging

@@ -8,8 +8,11 @@ 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;
 
@@ -37,13 +40,59 @@ 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;
@@ -60,6 +109,7 @@ server {
         proxy_cache_bypass 1;
     }
 
+    # ---------- WEBSOCKET GATEWAY TO :8083 ----------
     location ^~ /websocket/ {
         proxy_pass         http://127.0.0.1:8083/;
         proxy_http_version 1.1;
@@ -80,24 +130,4 @@ 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;
-    }
-
-}
+}