Feishu MCP Proxy
A local reverse proxy for Feishu MCP services that automatically manages tenant_access_token, enabling AI agents to interact with Feishu documents and tools seamlessly.
README
Feishu MCP Proxy
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。
架构
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 Server
前置条件
- 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)
安装
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 .
配置
cp .env.example .env
编辑 .env 文件:
FEISHU_APP_ID=cli_xxxxxxxxxxxxxxxx
FEISHU_APP_SECRET=xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
可选配置
| 环境变量 | 说明 | 默认值 |
|---|---|---|
FEISHU_ALLOWED_TOOLS |
允许的工具列表(逗号分隔) | 全部工具 |
PROXY_HOST |
监听地址 | localhost |
PROXY_PORT |
监听端口 | 9099 |
LOG_LEVEL |
日志级别 | INFO |
启动
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/health
Claude Code 集成
一键配置
claude 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。
手动配置
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。
支持的 MCP 工具
| 工具 | 说明 |
|---|---|
search-doc |
搜索云文档 |
create-doc |
创建云文档 |
fetch-doc |
查看云文档内容 |
update-doc |
更新云文档 |
list-docs |
列出知识空间下的文档 |
get-comments |
查看文档评论 |
add-comments |
添加文档评论 |
search-user |
搜索用户 |
get-user |
获取用户信息 |
fetch-file |
获取文件内容 |
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.