lark-mcp
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., "@lark-mcpsearch the wiki for the 2024 product roadmap"
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.
lark-mcp
A Model Context Protocol (MCP) server for Feishu/Lark. Lets AI assistants (Cursor, Claude Desktop, etc.) search wiki pages and read/write Feishu documents on your behalf via OAuth.
Features
search_wiki — Search documents in Feishu Wiki by keywords
get_doc_content — Read a Feishu document or wiki page by URL
create_doc — Create a new Feishu document (with optional Markdown content)
update_doc — Replace or append content in an existing Feishu document (Markdown → Feishu blocks)
Requirements
Node.js >= 18.14.1
A Feishu open-platform app with the following permissions:
docx:document,docx:document:readonlywiki:wiki:readonlysearch:docs:read
Setup
Install dependencies:
npm installCopy the example environment file and fill in your credentials:
cp .env.example .envStart the MCP server:
node index.mjs
Environment Variables
Variable | Required | Description |
| Yes | Feishu app ID |
| Yes | Feishu app secret |
| No | Your Feishu tenant domain (default: |
| No | Local port for OAuth callback (default: |
| No | OAuth scopes (default: |
Cursor / Claude Desktop Integration
Add the following to your MCP config (e.g. ~/.cursor/mcp.json):
{
"mcpServers": {
"lark": {
"command": "node",
"args": ["/path/to/lark-mcp/index.mjs"],
"env": {
"LARK_APP_ID": "your_app_id",
"LARK_APP_SECRET": "your_app_secret",
"FEISHU_DOMAIN": "your-tenant.feishu.cn"
}
}
}
}License
MIT
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Appeared in Searches
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/lovelts/lark-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server