Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Feishu MCP Proxy fetch the document with id 12345"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
飞书 MCP 服务的本地反向代理，自动管理 tenant_access_token 的获取和刷新，让你的 AI Agent 无需关心 token 过期问题。
Claude Code / AI Agent
│
│ POST http://localhost:9099/mcp
▼
┌─────────────────────────┐
│ Feishu MCP Proxy │
│ - 自动获取 TAT │
│ - 后台定时刷新 │
│ - 透明转发请求 │
└─────────────────────────┘
│
│ POST https://mcp.feishu.cn/mcp
│ + X-Lark-MCP-TAT: t-xxx
▼
Feishu MCP ServerRelated MCP server: Feishu MCP Server
Python 3.10+
在飞书开放平台创建自建应用，获取 App ID 和 App Secret
为应用申请所需的 API 权限（如 docx:document:readonly, docx:document:create 等）
git clone https://github.com/Tim-Siu/feishu-mcp-proxy.git
cd feishu-mcp-proxy
pip install .或开发模式安装：
pip install -e .cp .env.example .env编辑 .env 文件：
FEISHU_APP_ID=cli_xxxxxxxxxxxxxxxx
FEISHU_APP_SECRET=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx环境变量 | 说明 | 默认值 |
| 允许的工具列表（逗号分隔） | 全部工具 |
| 监听地址 |
|
| 监听端口 |
|
| 日志级别 |
|
python -m feishu_mcp_proxy或使用安装后的命令：
feishu-mcp-proxy启动后可通过 /health 端点检查状态：
curl http://localhost:9099/healthclaude mcp add feishu --transport http http://localhost:9099/mcp这会自动将飞书 MCP 添加到你的 Claude Code 配置中。
也可以在项目目录下创建 .mcp.json：
{
"mcpServers": {
"feishu": {
"type": "streamableHttp",
"url": "http://localhost:9099/mcp"
}
}
}启动 proxy 后，Claude Code 即可直接使用飞书 MCP 工具（如 fetch-doc, create-doc, search-doc 等），无需手动管理 token。
工具 | 说明 |
| 搜索云文档 |
| 创建云文档 |
| 查看云文档内容 |
| 更新云文档 |
| 列出知识空间下的文档 |
| 查看文档评论 |
| 添加文档评论 |
| 搜索用户 |
| 获取用户信息 |
| 获取文件内容 |
MIT
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