Connects to Lark/Feishu workplace platform to query employee information and access messaging features through automated API integration.

Provides a bridge to Lark/Feishu workplace collaboration platform, enabling access to employee information and messaging capabilities with automatic authentication and token management.

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What it does

  • Query employee information by ID
  • Access Lark Contact API data
  • Manage authentication tokens automatically
  • Handle Lark/Feishu API interactions

Best for

HR teams managing employee directoriesOrganizations using Lark/Feishu for workplace collaborationAutomating employee lookup workflows
Automatic token managementMultiple credential configuration options

About Lark

Lark is a community-built MCP server published by lorrylockie that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect seamlessly to the Lark workplace platform to access employee info and messaging with secure, automatic authentic It is categorized under communication.

How to install

You can install Lark in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Lark is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

Lark MCP Server

A Model Context Protocol (MCP) server that integrates with Lark/Feishu APIs, allowing LLMs to interact with Lark services.

Features

  • Query employee information using Lark's Contact API
  • More features coming soon...

Prerequisites

  • Node.js 16 or higher
  • A Lark/Feishu application with App ID and App Secret
  • Claude for Desktop or another MCP client

Installation

npm install
npm run build

Usage

You can run the server in two ways:

1. Using Command Line Arguments (Recommended)

npx lark-mcp <app_id> <app_secret>

Replace <app_id> and <app_secret> with your Lark application credentials.

2. Using Environment Variables

export LARK_APP_ID=your_app_id
export LARK_APP_SECRET=your_app_secret
npx lark-mcp

Available Tools

get-user-info

Retrieves employee information using their ID.

Example usage in Claude:

Please look up employee information for ID 12345

Development

  1. Clone the repository
  2. Install dependencies:
    npm install
    
  3. Build the project:
    npm run build
    
  4. Start the server in development mode:
    npm run dev
    

Configuration

The server prioritizes credentials in the following order:

  1. Command line arguments
  2. Environment variables
  3. Default values (if any)

Error Handling

  • The server will validate credentials before starting
  • API errors are properly handled and returned to the client
  • Detailed error messages help with troubleshooting

License

MIT

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a new Pull Request

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