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)
Related MCP server: Feishu MCP Server
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
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- Alicense-qualityDmaintenanceAn MCP-based service that enables AI models to seamlessly interact with Feishu (Lark) platform, supporting document reading and chatbot messaging capabilities.Last updated6154MIT
- Alicense-qualityCmaintenanceA zero-configuration MCP server enabling AI assistants to interact with Feishu (Lark) workspace through OAuth authentication, supporting document operations, content creation, and advanced file management.Last updated61MIT
- Alicense-qualityDmaintenanceEnables AI applications to access Feishu (Lark) knowledge base and cloud documents through the MCP protocol.Last updated611ISC
- Alicense-qualityBmaintenanceMCP server for Feishu/Lark API integration, enabling AI agents to send messages, manage groups, create and edit documents and spreadsheets, and search knowledge bases.Last updatedMIT
Related MCP Connectors
MCP server for AgentDocs (agentdocs.eu): read, search, write, comment on & share Markdown docs.
Driflyte MCP server which lets AI assistants query topic-specific knowledge from web and GitHub.
MCP server for AI dialogue using various LLM models via AceDataCloud
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
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