feishu-cli-mcp

feishu-cli-mcp

Exposes the official lark-cli as an MCP server, enabling agents to execute arbitrary CLI commands, query API schemas, and manage authentication.

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feishu-cli-mcp

把官方 lark-cli 暴露成 MCP 服务,让 Agent 通过清晰的上下文协议使用飞书/ Lark CLI 的完整能力。

设计

本项目不重写飞书 API,也不手工封装 200+ CLI 命令。MCP 只做一层受控代理:

  • lark_cli_run:执行任意 lark-cli 参数数组,覆盖 CLI 全部能力。
  • lark_cli_schema:查询 API 方法参数、响应、身份和 scopes。
  • lark_cli_help:查询服务或命令帮助,发现快捷命令。
  • lark_cli_auth_status:检查登录、scope 和身份状态。

Agent 上下文通过 MCP Resources / Prompts 暴露:

  • lark://agent-guide:Agent 使用规则。
  • lark://command-model:快捷命令、API 命令、Raw API 的选择顺序。
  • lark://skills:官方 CLI 覆盖的业务域。
  • lark://security:写操作、scope、Docker 和 HTTP 安全规则。
  • lark://schema/{method}:动态读取某个 API 方法 schema。
  • lark_plan_command:让 Agent 先规划命令。
  • lark_safe_write:让 Agent 走 schema、dry-run、用户确认流程。

Agent 协议

Agent 必须按这个顺序使用:

  1. 读 lark://agent-guide 和 lark://command-model。
  2. 优先查 lark_cli_help,选择 +shortcut。
  3. 快捷命令不够时,用 lark_cli_schema 查 API 命令。
  4. API 命令不够时,才用 lark_cli_run 调 raw api METHOD /open-apis/...。
  5. 读操作用 intent=read。
  6. 写操作用 intent=write,先 help/schema,能 dry-run 就先 dry-run。
  7. intent=write 或 intent=auth_config 必须传 confirm=true,否则服务拒绝执行。
  8. 机器读取优先加 --format json。

示例:

{
  "tool": "lark_cli_run",
  "arguments": {
    "args": ["calendar", "+agenda", "--format", "json"],
    "intent": "read"
  }
}

写操作示例:

{
  "tool": "lark_cli_run",
  "arguments": {
    "args": ["im", "+messages-send", "--chat-id", "oc_xxx", "--text", "hello", "--dry-run"],
    "intent": "write",
    "confirm": true
  }
}

本地运行

npm install
npm run build
node dist/index.js --transport stdio

HTTP:

copy .env.example .env
npm run build
node dist/index.js --transport http

MCP URL:

http://127.0.0.1:3333/mcp

如果设置了 MCP_HTTP_TOKEN,客户端需要传:

Authorization: Bearer <token>

Docker / Unraid

cp .env.example .env
docker compose up -d --build

Unraid 模板关键配置:

  • Repository/Image: feishu-cli-mcp:latest 或你的 GitHub 镜像地址
  • WebUI / MCP URL: http://<unraid-ip>:3333/mcp
  • Port: 3333:3333
  • Volume: /mnt/user/appdata/feishu-cli-mcp/lark-cli:/data/lark-cli
  • Env:
    • MCP_TRANSPORT=http
    • MCP_HOST=0.0.0.0
    • MCP_PORT=3333
    • MCP_HTTP_TOKEN=<强随机 token>
    • LARK_CLI_HOME=/data/lark-cli

持久化点是 /data/lark-cli。这里保存 CLI 配置和授权状态。

初始化飞书授权

容器启动后,通过 MCP 执行:

{
  "tool": "lark_cli_run",
  "arguments": {
    "args": ["config", "init", "--new"],
    "intent": "auth_config",
    "confirm": true
  }
}

然后登录:

{
  "tool": "lark_cli_run",
  "arguments": {
    "args": ["auth", "login", "--recommend", "--no-wait"],
    "intent": "auth_config",
    "confirm": true
  }
}

把 CLI 输出里的授权 URL 发给用户完成浏览器授权。

验证

npm run check
docker compose up -d --build
curl http://127.0.0.1:3333/healthz

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