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issue-tracker-mcp

一个极简的 Model Context Protocol 服务器, 让 AI 助手能够管理看板式问题面板。

它使用 流式 HTTP 传输,因此同一套代码既适用于本地 开发,也适用于整个团队连接的托管部署。

练习

src/server.ts 中包含了服务器框架和一个已完成的工具 (list_issues),以便你了解注册的写法。还有四个工具 留作 TODO 注释 —— 你的任务是使用 server.registerTool(...) 来实现它们:

  • get_issue

  • create_issue

  • update_issue

  • delete_issue

src/store.ts 中的数据层已经完成;你只需要将其连接起来即可。每完成一个,重启服务器并在 Inspector 中进行测试。

遇到困难了?solution 分支有一个完全可用的版本。

Related MCP server: kanban-lite

运行它

npm install
npm start
# → Issue Tracker MCP server listening on http://localhost:3001/mcp

手动测试

MCP Inspector 是一个用于手动调用工具的小型 Web UI:

npm run inspect
# then choose "Streamable HTTP" and enter http://localhost:3001/mcp

连接客户端

客户端

方法

Claude Code

claude mcp add --transport http issue-tracker http://localhost:3001/mcp

Claude Desktop / Claude.ai

设置 → 连接器 → 添加自定义连接器 → 粘贴 URL

为你的团队部署

这是一个普通的 Express 应用。将 npm start 部署到任何 Node 主机(Render、 Railway、Fly.io、Cloudflare Workers、VPS)并共享生成的 https://…/mcp URL —— 所有添加该 URL 的人都会连接到同一个面板。

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