Merge pull request #1124 from nagisa77/codex/create-daily-news-bot-with-summaries

Add daily news bot workflow

.github/workflows/coffee-bot.yml

@@ -0,0 +1,30 @@
+name: Coffee Bot
+
+on:
+  schedule:
+    - cron: "0 23 * * 0-4"
+  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 }}
+          APIFY_API_TOKEN: ${{ secrets.APIFY_API_TOKEN }}
+        run: npx tsx bots/instance/coffee_bot.ts

.github/workflows/open_source_reply_bot.yml

@@ -0,0 +1,30 @@
+name: Open Source Reply Bot
+
+on:
+  schedule:
+    - cron: "*/30 * * * *"
+  workflow_dispatch:
+
+jobs:
+  run-open-source-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 open source reply bot
+        env:
+          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+          OPENISLE_TOKEN: ${{ secrets.OPENISLE_TOKEN_BOT_1 }}
+          APIFY_API_TOKEN: ${{ secrets.APIFY_API_TOKEN }}
+        run: npx tsx bots/instance/open_source_reply_bot.ts

.github/workflows/reply-bots.yml

@@ -7,6 +7,7 @@ on:
 
 jobs:
   run-reply-bot:
+    environment: Bots
     runs-on: ubuntu-latest
     steps:
       - name: Checkout repository
@@ -19,10 +20,11 @@ jobs:
           cache: "npm"
 
       - name: Install dependencies
-        run: npm install --no-save @openai/agents ts-node typescript
+        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 ts-node --esm bots/reply_bots.ts
+          APIFY_API_TOKEN: ${{ secrets.APIFY_API_TOKEN }}
+        run: npx tsx bots/instance/reply_bot.ts

README.md

@@ -26,7 +26,7 @@ OpenIsle 是一个使用 Spring Boot 和 Vue 3 构建的全栈开源社区平台
 - 集成 OpenAI 提供的 Markdown 格式化功能
 - 通过环境变量可调整密码强度、登录方式、保护码等多种配置
 - 支持图片上传，默认使用腾讯云 COS 扩展
-- 默认头像使用 DiceBear Avatars，可通过 `AVATAR_STYLE` 和 `AVATAR_SIZE` 环境变量自定义主题和大小
+- Bot 集成，可在平台内快速连接自定义机器人，并通过 Telegram 的 BotFather 创建和管理消息机器人，拓展社区互动渠道
 - 浏览器推送通知，离开网站也能及时收到提醒
 
 ## 🌟 项目优势
@@ -41,7 +41,7 @@ OpenIsle 是一个使用 Spring Boot 和 Vue 3 构建的全栈开源社区平台
 
 ## 🏘️ 社区
 
-欢迎彼此交流和使用 OpenIsle，项目以开源方式提供，想了解更多可访问：<https://github.com/nagisa77/OpenIsle>
+- 欢迎彼此交流和使用 OpenIsle，项目以开源方式提供；如果遇到问题请到 GitHub 的 Issues 页面反馈，想发起话题讨论也可以前往源站 <https://www.open-isle.com>，这里提供更完整的社区板块与互动体验。
 
 ## 📋 授权
 

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

@@ -13,4 +13,5 @@ public class AuthorDto {
   private String username;
   private String avatar;
   private MedalType displayMedal;
+  private boolean bot;
 }

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

@@ -28,4 +28,5 @@ public class UserDto {
   private int point;
   private int currentLevel;
   private int nextLevelExp;
+  private boolean bot;
 }

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

@@ -8,4 +8,5 @@ public class UserSummaryDto {
   private Long id;
   private String username;
   private String avatar;
+  private boolean bot;
 }

backend/src/main/java/com/openisle/mapper/UserMapper.java

@@ -37,6 +37,7 @@ public class UserMapper {
     dto.setUsername(user.getUsername());
     dto.setAvatar(user.getAvatar());
     dto.setDisplayMedal(user.getDisplayMedal());
+    dto.setBot(user.isBot());
     return dto;
   }
 
@@ -63,6 +64,7 @@ public class UserMapper {
     dto.setPoint(user.getPoint());
     dto.setCurrentLevel(levelService.getLevel(user.getExperience()));
     dto.setNextLevelExp(levelService.nextLevelExp(user.getExperience()));
+    dto.setBot(user.isBot());
     if (viewer != null) {
       dto.setSubscribed(subscriptionService.isSubscribed(viewer.getName(), user.getUsername()));
     } else {

backend/src/main/java/com/openisle/model/User.java

@@ -62,6 +62,9 @@ public class User {
   @Column(nullable = false)
   private Role role = Role.USER;
 
+  @Column(name = "is_bot", nullable = false)
+  private boolean bot = false;
+
   @Enumerated(EnumType.STRING)
   private MedalType displayMedal;
 

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

@@ -105,6 +105,7 @@ public class ChannelService {
     userDto.setId(message.getSender().getId());
     userDto.setUsername(message.getSender().getUsername());
     userDto.setAvatar(message.getSender().getAvatar());
+    userDto.setBot(message.getSender().isBot());
     dto.setSender(userDto);
 
     return dto;

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

@@ -211,6 +211,7 @@ public class MessageService {
     userSummaryDto.setId(message.getSender().getId());
     userSummaryDto.setUsername(message.getSender().getUsername());
     userSummaryDto.setAvatar(message.getSender().getAvatar());
+    userSummaryDto.setBot(message.getSender().isBot());
     dto.setSender(userSummaryDto);
 
     if (message.getReplyTo() != null) {
@@ -222,6 +223,7 @@ public class MessageService {
       replySender.setId(reply.getSender().getId());
       replySender.setUsername(reply.getSender().getUsername());
       replySender.setAvatar(reply.getSender().getAvatar());
+      replySender.setBot(reply.getSender().isBot());
       replyDto.setSender(replySender);
       dto.setReplyTo(replyDto);
     }
@@ -316,6 +318,7 @@ public class MessageService {
           userDto.setId(p.getUser().getId());
           userDto.setUsername(p.getUser().getUsername());
           userDto.setAvatar(p.getUser().getAvatar());
+          userDto.setBot(p.getUser().isBot());
           return userDto;
         })
         .collect(Collectors.toList())
@@ -365,6 +368,7 @@ public class MessageService {
         userDto.setId(p.getUser().getId());
         userDto.setUsername(p.getUser().getUsername());
         userDto.setAvatar(p.getUser().getAvatar());
+        userDto.setBot(p.getUser().isBot());
         return userDto;
       })
       .collect(Collectors.toList());

backend/src/main/resources/db/init/01_schema.sql

@@ -20,6 +20,7 @@ CREATE TABLE IF NOT EXISTS `users` (
   `username` varchar(50) NOT NULL,
   `verification_code` varchar(255) DEFAULT NULL,
   `verified` bit(1) DEFAULT NULL,
+  `is_bot` bit(1) NOT NULL DEFAULT b'0',
   PRIMARY KEY (`id`),
   UNIQUE KEY `UK_users_email` (`email`),
   UNIQUE KEY `UK_users_username` (`username`)

backend/src/main/resources/db/init/02_seed_data.sql

@@ -8,10 +8,28 @@ DELETE FROM `users`;
 
 -- 插入用户，两个普通用户，一个管理员
 -- username:admin/user1/user2 password:123456
-INSERT INTO `users` (`id`, `approved`, `avatar`, `created_at`, `display_medal`, `email`, `experience`, `introduction`, `password`, `password_reset_code`, `point`, `register_reason`, `role`, `username`, `verification_code`, `verified`) VALUES
-(1, b'1', 'https://openisle-1307107697.cos.ap-guangzhou.myqcloud.com/assert/image.png', '2025-09-01 16:08:17.426430', 'PIONEER', 'adminmail@openisle.com', 70, NULL, '$2a$10$x7HXjUyJTmrvqjnBlBQZH.vmfsC56NzTSWqQ6WqZqRjUO859EhviS', NULL, 110, '测试测试测试……', 'ADMIN', 'admin', NULL, b'1'),
-(2, b'1', 'https://openisle-1307107697.cos.ap-guangzhou.myqcloud.com/assert/image.png', '2025-09-03 16:08:17.426430', 'PIONEER', 'usermail2@openisle.com', 70, NULL, '$2a$10$x7HXjUyJTmrvqjnBlBQZH.vmfsC56NzTSWqQ6WqZqRjUO859EhviS', NULL, 110, '测试测试测试……', 'USER', 'user1', NULL, b'1'),
-(3, b'1', 'https://openisle-1307107697.cos.ap-guangzhou.myqcloud.com/assert/image.png', '2025-09-02 17:21:21.617666', 'PIONEER', 'usermail1@openisle.com', 40, NULL, '$2a$10$x7HXjUyJTmrvqjnBlBQZH.vmfsC56NzTSWqQ6WqZqRjUO859EhviS', NULL, 40, '测试测试测试……', 'USER', 'user2', NULL, b'1');
+INSERT INTO `users` (
+  `id`,
+  `approved`,
+  `avatar`,
+  `created_at`,
+  `display_medal`,
+  `email`,
+  `experience`,
+  `introduction`,
+  `password`,
+  `password_reset_code`,
+  `point`,
+  `register_reason`,
+  `role`,
+  `username`,
+  `verification_code`,
+  `verified`,
+  `is_bot`
+) VALUES
+(1, b'1', 'https://openisle-1307107697.cos.ap-guangzhou.myqcloud.com/assert/image.png', '2025-09-01 16:08:17.426430', 'PIONEER', 'adminmail@openisle.com', 70, NULL, '$2a$10$x7HXjUyJTmrvqjnBlBQZH.vmfsC56NzTSWqQ6WqZqRjUO859EhviS', NULL, 110, '测试测试测试……', 'ADMIN', 'admin', NULL, b'1', b'0'),
+(2, b'1', 'https://openisle-1307107697.cos.ap-guangzhou.myqcloud.com/assert/image.png', '2025-09-03 16:08:17.426430', 'PIONEER', 'usermail2@openisle.com', 70, NULL, '$2a$10$x7HXjUyJTmrvqjnBlBQZH.vmfsC56NzTSWqQ6WqZqRjUO859EhviS', NULL, 110, '测试测试测试……', 'USER', 'user1', NULL, b'1', b'0'),
+(3, b'1', 'https://openisle-1307107697.cos.ap-guangzhou.myqcloud.com/assert/image.png', '2025-09-02 17:21:21.617666', 'PIONEER', 'usermail1@openisle.com', 40, NULL, '$2a$10$x7HXjUyJTmrvqjnBlBQZH.vmfsC56NzTSWqQ6WqZqRjUO859EhviS', NULL, 40, '测试测试测试……', 'USER', 'user2', NULL, b'1', b'0');
 
 INSERT INTO `categories` (`id`,`description`,`icon`,`name`,`small_icon`) VALUES
 (1,'测试用分类1','star','测试用分类1',NULL),

backend/src/main/resources/db/migration/V8__add_is_bot_to_users.sql

@@ -0,0 +1,2 @@
+ALTER TABLE users
+ADD COLUMN is_bot BIT(1) NOT NULL DEFAULT b'0';

bots/bot_father.ts

@@ -0,0 +1,182 @@
+import { Agent, Runner, hostedMcpTool, withTrace, webSearchTool } from "@openai/agents";
+
+export type WorkflowInput = { input_as_text: string };
+
+export abstract class BotFather {
+  protected readonly openisleToken = (process.env.OPENISLE_TOKEN ?? "").trim();
+  protected readonly weatherToken = (process.env.APIFY_API_TOKEN ?? "").trim();
+
+  protected readonly openisleMcp = this.createHostedMcpTool();
+  protected readonly weatherMcp = this.createWeatherMcpTool();
+  protected readonly webSearchPreview = this.createWebSearchPreviewTool();
+  protected readonly agent: Agent;
+
+  constructor(protected readonly name: string) {
+    console.log(`✅ ${this.name} starting...`);
+    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."
+    );
+
+    console.log(
+      this.weatherToken
+        ? "☁️ APIFY_API_TOKEN detected; weather MCP server will be available."
+        : "🌥️ APIFY_API_TOKEN not set; weather updates will be unavailable."
+    );
+
+    this.agent = new Agent({
+      name: this.name,
+      instructions: this.buildInstructions(),
+      tools: [
+        this.openisleMcp, 
+        this.weatherMcp, 
+        this.webSearchPreview
+      ],
+      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 createWebSearchPreviewTool() {
+    return webSearchTool({
+      userLocation: {
+        type: "approximate",
+        country: undefined,
+        region: undefined,
+        city: undefined,
+        timezone: undefined
+      },
+      searchContextSize: "medium"
+    })
+  }
+
+  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: [
+        "search", // 用于搜索帖子、内容等
+        "create_post", // 创建新帖子
+        "reply_to_post", // 回复帖子
+        "reply_to_comment", // 回复评论
+        "recent_posts", // 获取最新帖子
+        "get_post", // 获取特定帖子的详细信息
+        "list_unread_messages", // 列出未读消息或通知
+        "mark_notifications_read", // 标记通知为已读
+      ],
+      requireApproval: "never",
+      ...authConfig,
+    });
+  }
+
+  private createWeatherMcpTool(): ReturnType<typeof hostedMcpTool> {
+    return hostedMcpTool({
+      serverLabel: "weather_mcp_server",
+      serverUrl: "https://jiri-spilka--weather-mcp-server.apify.actor/mcp",
+      requireApproval: "never",
+      allowedTools: [
+        "get_current_weather", // 天气 MCP 工具
+      ],
+      headers: {
+        Authorization: `Bearer ${this.weatherToken || ""}`,
+      },
+    });
+  }
+
+  protected getAdditionalInstructions(): string[] {
+    return [];
+  }
+
+  protected createRunner(): Runner {
+    return new Runner({
+      workflowName: this.name,
+      traceMetadata: {
+        __trace_source__: "agent-builder",
+        workflow_id: "wf_69003cbd47e08190928745d3c806c0b50d1a01cfae052be8",
+      },
+    });
+  }
+
+  public async runWorkflow(workflow: WorkflowInput) {
+    if (!process.env.OPENAI_API_KEY) {
+      throw new Error("Missing OPENAI_API_KEY");
+    }
+
+    const runner = this.createRunner();
+
+    return await withTrace(`${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 +1,56 @@
+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 [
+      "记住你的系统代号是 system，有需要自称或签名时都要使用这个名字。",
+      "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。",
+      "使用标签为 weather_mcp_server 的 MCP 工具获取北京、上海、广州、深圳当天的天气信息，并把结果写入早安问候之后。",
+    ];
+  }
+
+  protected override getCliQuery(): string {
+    const now = new Date(Date.now() + 8 * 60 * 60 * 1000);
+    const weekday = WEEKDAY_NAMES[now.getDay()];
+    const drawTime = new Date(now);
+    drawTime.setHours(15, 0, 0, 0);
+
+    return `
+请立即在 https://www.open-isle.com 使用 create_post 发表一篇帖子，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；
+   - 早安问候后立即列出北京、上海、广州、深圳当天的天气信息，每行格式为“城市：天气描述，最低温~最高温”；天气需调用 weather_mcp_server 获取；
+   - 标注“领奖请私聊站长 @[nagisa]”；
+   - 鼓励大家留言互动。
+3. 奖品信息
+   - 明确奖品写作“Coffee”；
+   - 帖子类型必须为 LOTTERY；
+   - 奖品图片链接：https://openisle-1307107697.cos.accelerate.myqcloud.com/dynamic_assert/0d6a9b33e9ca4fe5a90540187d3f9ecb.png；
+   - 公布开奖时间为 ${drawTime}, 直接传UTC时间给接口，不要考虑时区问题
+   - categoryId 固定为 10，tagIds 设为 [36]。
+4. 帖子语言使用简体中文。
+`.trim();
+  }
+}
+
+const coffeeBot = new CoffeeBot();
+
+export const runWorkflow = async (workflow: WorkflowInput) => {
+  return coffeeBot.runWorkflow(workflow);
+};
+
+if (require.main === module) {
+  coffeeBot.runCli();
+}
+

bots/instance/daily_news_bot.ts

@@ -0,0 +1,67 @@
+import { BotFather, WorkflowInput } from "../bot_father";
+
+const WEEKDAY_NAMES = ["日", "一", "二", "三", "四", "五", "六"] as const;
+
+class DailyNewsBot extends BotFather {
+  constructor() {
+    super("Daily News Bot");
+  }
+
+  protected override getAdditionalInstructions(): string[] {
+    return [
+      "You are DailyNewsBot，专职在 OpenIsle 发布每日新闻速递。",
+      "始终使用简体中文回复，并以结构化 Markdown 呈现内容。",
+      "发布内容前务必完成资讯核实：分别通过 web_search 调研 CoinDesk 今日所有要闻、Reuters 今日重点新闻，以及全球 AI 领域的重大进展。",
+      "整合新闻时，将同源资讯合并，突出影响力、涉及主体与潜在影响，保持语句简洁。",
+      "所有新闻要点都要附带来源链接，并在括号中标注来源站点名。",
+      "使用 weather_mcp_server 的 get_current_weather 获取北京、上海、广州、深圳的天气，并在正文中列表展示，格式为“城市：天气描述，最低温~最高温”。",
+      "正文结尾补充一个行动建议或提醒，帮助读者快速把握重点。",
+      "确保整篇帖子逻辑清晰：问候 > 新闻分区 > 天气列表 > 总结/提醒。",
+      "严禁发布超过一篇帖子，create_post 只调用一次。",
+    ];
+  }
+
+  protected override getCliQuery(): string {
+    const now = new Date(Date.now() + 8 * 60 * 60 * 1000);
+    const year = now.getFullYear();
+    const month = String(now.getMonth() + 1).padStart(2, "0");
+    const day = String(now.getDate()).padStart(2, "0");
+    const weekday = WEEKDAY_NAMES[now.getDay()];
+    const dateLabel = `${year}年${month}月${day}日 星期${weekday}`;
+    const isoDate = `${year}-${month}-${day}`;
+    const categoryId = Number(process.env.DAILY_NEWS_CATEGORY_ID ?? "1");
+    const tagIdsEnv = process.env.DAILY_NEWS_TAG_IDS ?? "1";
+    const tagIds = tagIdsEnv
+      .split(",")
+      .map((id) => Number(id.trim()))
+      .filter((id) => !Number.isNaN(id));
+    const finalTagIds = tagIds.length > 0 ? tagIds : [1];
+    const tagIdsText = `[${finalTagIds.join(", ")}]`;
+
+    return `
+请立即在 https://www.open-isle.com 使用 create_post 发布一篇名为「OpenIsle 每日新闻速递｜${dateLabel}」的帖子，并遵循以下要求：
+1. 发布类型为 NORMAL，categoryId = ${categoryId}，tagIds = ${tagIdsText}。
+2. 正文以简洁问候开头，注明今日日期（${dateLabel}）及发布时间（07:00，GMT+8）。
+3. 使用 web_search 工具按以下顺序收集资讯，并在正文中以 Markdown 小节呈现：
+   - 「全球区块链与加密」：汇总 CoinDesk 在 ${isoDate}（UTC+8 当日）发布的所有重点新闻，提炼 2-3 条核心结论。
+   - 「国际财经速览」：汇总 Reuters 当日重点头条，关注宏观经济、市场波动或政策变化。
+   - 「AI 行业快讯」：检索全球 AI 领域的重要发布或事件（例如 OpenAI、Google、Meta、国内大模型厂商等）。
+4. 每条新闻采用项目符号，先写结论再给出关键数字或细节，末尾添加来源超链接，格式示例：「**结论** —— 关键细节。（来源：[Reuters](URL)）」。
+5. 资讯整理完毕后，调用 weather_mcp_server.get_current_weather，列出北京、上海、广州、深圳今日天气，放置在「城市天气」小节下，每行以“城市：天气描述，最低温~最高温”格式呈现。
+6. 最后一节为「今日提醒」，给出 1-2 条与新闻或天气相关的行动建议。
+7. 若在资讯搜集过程中发现相互矛盾的信息，须在正文中以「⚠️ 风险提示」说明原因及尚待确认的点。
+8. 帖子整体保持在 400 字以内，避免冗长赘述。
+9. 发布完成后，不要再次调用 create_post。
+`.trim();
+  }
+}
+
+const dailyNewsBot = new DailyNewsBot();
+
+export const runWorkflow = async (workflow: WorkflowInput) => {
+  return dailyNewsBot.runWorkflow(workflow);
+};
+
+if (require.main === module) {
+  dailyNewsBot.runCli();
+}

bots/instance/open_source_reply_bot.ts

@@ -0,0 +1,65 @@
+import { readFileSync } from "node:fs";
+import path from "node:path";
+import { BotFather, WorkflowInput } from "../bot_father";
+
+class OpenSourceReplyBot extends BotFather {
+  constructor() {
+    super("OpenSource Reply Bot");
+  }
+
+  protected override getAdditionalInstructions(): string[] {
+    const knowledgeBase = this.loadKnowledgeBase();
+
+    return [
+      "You are OpenSourceReplyBot, a professional helper who focuses on answering open-source development and code-related questions for the OpenIsle community.",
+      "Respond in Chinese using well-structured Markdown sections such as 标题、列表、代码块等，让回复清晰易读。",
+      "保持语气专业、耐心、详尽，绝不使用表情符号或颜文字，也不要卖萌。",
+      "优先解答与项目代码、贡献流程、架构设计或排错相关的问题；",
+      "在需要时引用 README.md 与 CONTRIBUTING.md 中的要点，帮助用户快速定位文档位置。",
+      knowledgeBase,
+    ].filter(Boolean);
+  }
+
+  protected override getCliQuery(): string {
+    return `
+【AUTO】每30分钟自动巡检未读提及与评论，严格遵守以下流程：
+1）调用 list_unread_messages 获取待处理的“提及/评论”；
+2）按时间从新到旧逐条处理（最多10条）；如需上下文请调用 get_post；
+3）仅对与开源项目、代码实现或贡献流程直接相关的问题生成详尽的 Markdown 中文回复，
+   若与主题无关则礼貌说明并跳过；
+4）回复时引用 README 或 CONTRIBUTING 中的要点（如适用），并优先给出可执行的排查步骤或代码建议；
+5）回复评论使用 reply_to_comment，回复帖子使用 reply_to_post；
+6）若某通知最后一条已由本 bot 回复，则跳过避免重复；
+7）整理已处理通知 ID 调用 mark_notifications_read；
+8）结束时输出包含处理条目概览（URL或ID）的总结。`.trim();
+  }
+
+  private loadKnowledgeBase(): string {
+    const docs = ["../../README.md", "../../CONTRIBUTING.md"];
+    const sections: string[] = [];
+
+    for (const relativePath of docs) {
+      try {
+        const absolutePath = path.resolve(__dirname, relativePath);
+        const content = readFileSync(absolutePath, "utf-8").trim();
+        if (content) {
+          sections.push(`以下是 ${path.basename(absolutePath)} 的内容：\n${content}`);
+        }
+      } catch (error) {
+        sections.push(`未能加载 ${relativePath}，请检查文件路径或权限。`);
+      }
+    }
+
+    return sections.join("\n\n");
+  }
+}
+
+const openSourceReplyBot = new OpenSourceReplyBot();
+
+export const runWorkflow = async (workflow: WorkflowInput) => {
+  return openSourceReplyBot.runWorkflow(workflow);
+};
+
+if (require.main === module) {
+  openSourceReplyBot.runCli();
+}

bots/instance/reply_bot.ts

@@ -0,0 +1,38 @@
+// reply_bot.ts
+import { BotFather, WorkflowInput } from "../bot_father";
+
+class ReplyBot extends BotFather {
+  constructor() {
+    super("OpenIsle Bot");
+  }
+
+  protected override getAdditionalInstructions(): string[] {
+    return [
+      "记住你的系统代号是 system，任何需要自称、署名或解释身份的时候都使用这个名字。",
+      "以阴阳怪气的方式回复各种互动",
+      "你每天会发布咖啡抽奖贴，跟大家互动",
+    ];
+  }
+
+  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();
+}

bots/reply_bots.ts

@@ -1,131 +0,0 @@
-// reply_bot.ts
-import { Agent, Runner, hostedMcpTool, withTrace } from "@openai/agents";
-
-console.log("✅ Reply bot starting...");
-
-const allowedMcpTools = [
-  "search",
-  "reply_to_post",
-  "reply_to_comment",
-  "recent_posts",
-  "get_post",
-  "list_unread_messages",
-  "mark_notifications_read",
-];
-
-console.log("🛠️ Configured Hosted MCP tools:", allowedMcpTools.join(", "));
-
-// ---- MCP 工具（Hosted MCP） ----
-// 关键点：requireApproval 设为 "never"，避免卡在人工批准。
-const mcp = hostedMcpTool({
-  serverLabel: "openisle_mcp",
-  serverUrl: "https://www.open-isle.com/mcp",
-  allowedTools: allowedMcpTools,
-  requireApproval: "never",
-});
-
-type WorkflowInput = { input_as_text: string };
-
-// 从环境变量读取你的站点鉴权令牌（可选）
-const OPENISLE_TOKEN = process.env.OPENISLE_TOKEN ?? "";
-
-console.log(
-  OPENISLE_TOKEN
-    ? "🔑 OPENISLE_TOKEN detected in environment."
-    : "🔓 OPENISLE_TOKEN not set; agent will request it if required."
-);
-
-// ---- 定义 Agent ----
-const openisleBot = new Agent({
-  name: "OpenIsle Bot",
-  instructions: [
-    "You are a helpful and cute assistant for https://www.open-isle.com. Please use plenty of kawaii kaomoji (颜表情), such as (๑˃ᴗ˂)ﻭ, (•̀ω•́)✧, (｡•ᴗ-)_♡, (⁎⁍̴̛ᴗ⁍̴̛⁎), etc., in your replies to create a friendly, adorable vibe.",
-    "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, cute summary filled with kaomoji and include any important URLs or IDs.",
-    OPENISLE_TOKEN
-      ? `If tools require auth, use this token exactly where the tool schema expects it: ${OPENISLE_TOKEN}`
-      : "If a tool requires auth, ask me to provide OPENISLE_TOKEN via env.",
-    "After finishing replies, call mark_notifications_read with all processed notification IDs to keep the inbox clean.",
-  ].join("\n"),
-  tools: [mcp],
-  model: "gpt-4o",
-  modelSettings: {
-    temperature: 0.7,
-    topP: 1,
-    maxTokens: 2048,
-    toolChoice: "auto",
-    store: true,
-  },
-});
-
-// ---- 入口函数：跑到拿到 finalOutput 为止，然后输出并退出 ----
-export const runWorkflow = async (workflow: WorkflowInput) => {
-  // 强烈建议在外部（shell）设置 OPENAI_API_KEY
-  if (!process.env.OPENAI_API_KEY) {
-    throw new Error("Missing OPENAI_API_KEY");
-  }
-
-  const runner = new Runner({
-    workflowName: "OpenIsle Bot",
-    traceMetadata: {
-      __trace_source__: "agent-builder",
-      workflow_id: "wf_69003cbd47e08190928745d3c806c0b50d1a01cfae052be8",
-    },
-    // 如需完全禁用上报可加：tracingDisabled: true
-  });
-
-  return await withTrace("OpenIsle Bot run", async () => {
-    const preview = workflow.input_as_text.trim();
-    console.log(
-      "📝 Received workflow input (preview):",
-      preview.length > 200 ? `${preview.slice(0, 200)}…` : preview
-    );
-
-    // Runner.run 会自动循环执行：LLM → 工具 → 直至 finalOutput
-    console.log("🚦 Starting agent run with maxTurns=16...");
-    const result = await runner.run(openisleBot, workflow.input_as_text, {
-      maxTurns: 16, // 允许更复杂任务多轮调用 MCP
-      // stream: true  // 如需边跑边看事件可打开，然后消费流事件
-    });
-
-    console.log("📬 Agent run completed. Result keys:", Object.keys(result));
-
-    if (!result.finalOutput) {
-      // 若没产出最终结果，通常是启用了人工批准/工具失败/达到 maxTurns
-      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;
-  });
-};
-
-// ---- CLI 运行（示范）----
-if (require.main === module) {
-  (async () => {
-    try {
-      const query = `
-        【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）。
-      `;
-        
-      console.log("🔍 Running workflow...");
-      await runWorkflow({ input_as_text: query });
-      process.exit(0);
-    } catch (err: any) {
-      console.error("❌ Agent failed:", err?.stack || err);
-      process.exit(1);
-    }
-  })();
-}

frontend_nuxt/components/CommentItem.vue

@@ -16,6 +16,7 @@
         <div class="info-content-header-left">
           <span class="user-name">{{ comment.userName }}</span>
           <span v-if="isCommentFromPostAuthor" class="op-badge" title="楼主">OP</span>
+          <span v-if="comment.isBot" class="bot-badge" title="Bot">Bot</span>
           <medal-one class="medal-icon" />
           <NuxtLink
             v-if="comment.medal"
@@ -522,6 +523,21 @@ const handleContentClick = (e) => {
   line-height: 1;
 }
 
+.bot-badge {
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+  margin-left: 6px;
+  padding: 0 6px;
+  height: 18px;
+  border-radius: 9px;
+  background-color: rgba(76, 175, 80, 0.16);
+  color: #2e7d32;
+  font-size: 12px;
+  font-weight: 600;
+  line-height: 1;
+}
+
 .medal-icon {
   font-size: 12px;
   opacity: 0.6;

frontend_nuxt/pages/posts/[id]/index.vue

@@ -377,6 +377,7 @@ const mapComment = (
   text: c.content,
   reactions: c.reactions || [],
   pinned: Boolean(c.pinned ?? c.pinnedAt ?? c.pinned_at),
+  isBot: Boolean(c.author?.bot),
   reply: (c.replies || []).map((r) =>
     mapComment(r, c.author.username, c.author.avatar, c.author.id, level + 1),
   ),

mcp/README.md

@@ -31,6 +31,7 @@ By default the server listens on port `8085` and serves MCP over Streamable HTTP
 | 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. |

mcp/src/openisle_mcp/schemas.py

@@ -192,6 +192,12 @@ class CommentCreateResult(BaseModel):
     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."""
 

mcp/src/openisle_mcp/search_client.py

@@ -66,14 +66,15 @@ class SearchClient:
         resolved = self._resolve_token(token)
         if resolved is None:
             raise ValueError(
-                "Authenticated request requires an access token but none was provided."
+                "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,
+        token: str,
         accept: str = "application/json",
         include_json: bool = False,
     ) -> dict[str, str]:
@@ -173,6 +174,33 @@ class SearchClient:
         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,
+    ) -> 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, token=%s", body.get("id"), token)
+        return body
+
     async def recent_posts(self, minutes: int) -> list[dict[str, Any]]:
         """Return posts created within the given timeframe."""
 
@@ -221,7 +249,7 @@ class SearchClient:
         *,
         page: int = 0,
         size: int = 30,
-        token: str | None = None,
+        token: str,
     ) -> list[dict[str, Any]]:
         """Return unread notifications for the authenticated user."""
 
@@ -257,7 +285,7 @@ class SearchClient:
         self,
         ids: list[int],
         *,
-        token: str | None = None,
+        token: str
     ) -> None:
         """Mark the provided notifications as read for the authenticated user."""
 

mcp/src/openisle_mcp/server.py

@@ -20,6 +20,7 @@ from .schemas import (
     NotificationCleanupResult,
     UnreadNotificationsResponse,
     PostDetail,
+    PostCreateResult,
     PostSummary,
     RecentPostsResponse,
     SearchResponse,
@@ -51,6 +52,37 @@ search_client = SearchClient(
 )
 
 
+def _extract_authorization_token(ctx: Context | None) -> str | None:
+    """Return the Bearer token from the incoming MCP request headers."""
+
+    if ctx is None:
+        return None
+
+    try:
+        request_context = ctx.request_context
+    except ValueError:
+        return None
+
+    request = getattr(request_context, "request", None)
+    if request is None:
+        return None
+
+    headers = getattr(request, "headers", None)
+    if headers is None:
+        return None
+
+    authorization = headers.get("authorization")
+    if not authorization:
+        return None
+
+    scheme, _, token = authorization.partition(" ")
+    if scheme.lower() != "bearer":
+        return None
+
+    stripped = token.strip()
+    return stripped or None
+
+
 @asynccontextmanager
 async def lifespan(_: FastMCP):
     """Lifecycle hook that disposes shared resources when the server stops."""
@@ -66,9 +98,10 @@ async def lifespan(_: FastMCP):
 app = FastMCP(
     name="openisle-mcp",
     instructions=(
-        "Use this server to search OpenIsle content, 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."
+        "Use this server to search OpenIsle content, create new posts, reply to posts and "
+        "comments using the Authorization header or configured access 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,
@@ -129,7 +162,10 @@ async def search(
 
 @app.tool(
     name="reply_to_post",
-    description="Create a comment on a post using an authentication token.",
+    description=(
+        "Create a comment on a post using the request Authorization header or the configured "
+        "access token."
+    ),
     structured_output=True,
 )
 async def reply_to_post(
@@ -148,15 +184,6 @@ async def reply_to_post(
             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."""
@@ -165,12 +192,10 @@ async def reply_to_post(
     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
 
+    request_token = _extract_authorization_token(ctx)
+
     try:
         logger.info(
             "Creating reply for post_id=%s (captcha=%s)",
@@ -179,20 +204,20 @@ async def reply_to_post(
         )
         raw_comment = await search_client.reply_to_post(
             post_id,
-            sanitized_token,
-            sanitized_content,
-            sanitized_captcha,
+            token=request_token,
+            content=sanitized_content,
+            captcha=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."
+                f"{post_id}. Please verify the Authorization header or configured token."
             )
         elif status_code == 403:
             message = (
-                "The provided token is not authorized to reply to post "
+                "The provided Authorization token is not authorized to reply to post "
                 f"{post_id}."
             )
         elif status_code == 404:
@@ -238,7 +263,10 @@ async def reply_to_post(
 
 @app.tool(
     name="reply_to_comment",
-    description="Reply to an existing comment using an authentication token.",
+    description=(
+        "Reply to an existing comment using the request Authorization header or the configured "
+        "access token."
+    ),
     structured_output=True,
 )
 async def reply_to_comment(
@@ -257,15 +285,6 @@ async def reply_to_comment(
             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."""
@@ -274,10 +293,10 @@ async def reply_to_comment(
     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
 
+    request_token = _extract_authorization_token(ctx)
+
     try:
         logger.info(
             "Creating reply for comment_id=%s (captcha=%s)",
@@ -286,20 +305,20 @@ async def reply_to_comment(
         )
         raw_comment = await search_client.reply_to_comment(
             comment_id,
-            sanitized_token,
-            sanitized_content,
-            sanitized_captcha,
+            token=request_token,
+            content=sanitized_content,
+            captcha=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."
+                f"{comment_id}. Please verify the Authorization header or configured token."
             )
         elif status_code == 403:
             message = (
-                "The provided token is not authorized to reply to comment "
+                "The provided Authorization token is not authorized to reply to comment "
                 f"{comment_id}."
             )
         else:
@@ -341,6 +360,342 @@ async def reply_to_comment(
     return CommentReplyResult(comment=comment)
 
 
+@app.tool(
+    name="create_post",
+    description=(
+        "Publish a new post using the request Authorization header or the configured access "
+        "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,
+    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_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.")
+    if sanitized_category_id is None:
+        raise ValueError("A category identifier is required to create a post.")
+
+    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
+    if not sanitized_tag_ids:
+        raise ValueError("At least one tag identifier is required to create a post.")
+    if len(sanitized_tag_ids) > 2:
+        raise ValueError("At most two tag identifiers can be provided for a post.")
+
+    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=_extract_authorization_token(ctx))
+    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 "
+                "Authorization header or configured token."
+            )
+        elif status_code == 403:
+            message = "The provided Authorization 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.",
@@ -403,24 +758,15 @@ async def get_post(
         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)
+        raw_post = await search_client.get_post(
+            post_id, _extract_authorization_token(ctx)
+        )
     except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
         status_code = exc.response.status_code
         if status_code == 404:
@@ -428,7 +774,7 @@ async def get_post(
         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."
+            message = "The provided Authorization token is not authorized to view this post."
         else:
             message = (
                 "OpenIsle backend returned HTTP "
@@ -485,21 +831,10 @@ async def list_unread_messages(
             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)",
@@ -509,7 +844,7 @@ async def list_unread_messages(
         raw_notifications = await search_client.list_unread_notifications(
             page=page,
             size=size,
-            token=sanitized_token,
+            token=_extract_authorization_token(ctx),
         )
     except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
         message = (
@@ -568,29 +903,18 @@ async def mark_notifications_read(
             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)
+        await search_client.mark_notifications_read(
+            ids, token=_extract_authorization_token(ctx)
+        )
     except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
         message = (
             "OpenIsle backend returned HTTP "