// may the 4th be with you⚔️
productivitycommunication

Feishu/Lark

by larksuite

Integrate AI assistants with Feishu/Lark's collaboration tools using the official Node.js SDK for seamless productivity

Integrates with Feishu/Lark's collaboration suite, enabling AI assistants to interact with productivity tools through the official Node.js SDK.

github stars

518

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

TypeScript implementation with CLI and HTTP modesFull document lifecycle supportStructured content processing

best for

  • / AI coding tools accessing project documentation
  • / Automating documentation workflows in development teams
  • / Integrating Feishu workspace content into AI assistants

capabilities

  • / Browse Feishu document folders and hierarchies
  • / Create and edit Feishu documents with structured content
  • / Search documents by keywords
  • / Retrieve document content in multiple formats
  • / Batch create and update document blocks
  • / Delete and restructure document sections

what it does

Connects AI coding tools to Feishu (Lark) workspace documents, enabling direct access, editing, and search of collaborative documents. Supports document creation, content modification, and folder browsing within your development workflow.

about

Feishu/Lark is an official MCP server published by larksuite that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate AI assistants with Feishu/Lark's collaboration tools using the official Node.js SDK for seamless productivity It is categorized under productivity, communication.

how to install

You can install Feishu/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

MIT

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

readme

Feishu/Lark OpenAPI MCP

npm version npm downloads Node.js Version

English | 中文

Developer Documentation Retrieval MCP

Official Document

Trouble Shooting

⚠️ Beta Version Notice: This tool is currently in Beta stage. Features and APIs may change, so please stay updated with version releases.

This is the Feishu/Lark official OpenAPI MCP (Model Context Protocol) tool designed to help users quickly connect to the Feishu/Lark platform and enable efficient collaboration between AI Agents and Feishu/Lark. The tool encapsulates Feishu/Lark Open Platform API interfaces as MCP tools, allowing AI assistants to directly call these interfaces and implement various automation scenarios such as document processing, conversation management, calendar scheduling, and more.

Preparation

Creating a Feishu/Lark Application

Before using the lark-mcp tool, you need to create a Feishu/Lark application:

  1. Visit the Feishu Open Platform or Lark Open Platform and log in
  2. Click "Console" and create a new application
  3. Obtain the App ID and App Secret, which will be used for API authentication
  4. Add the necessary permissions for your application based on your usage scenario
  5. If you need to call APIs as a user, set the OAuth 2.0 redirect URL to http://localhost:3000/callback

For detailed application creation and configuration guidelines, please refer to the Feishu Open Platform Documentation - Creating an Application.

Installing Node.js

Before using the lark-mcp tool, you need to install the Node.js environment.

Using the Official Installer (Recommended):

  1. Visit the Node.js website
  2. Download and install the LTS version
  3. After installation, verify in the terminal:
node -v
npm -v

Quick Start

Using with Trae/Cursor/Claude

To integrate Feishu/Lark functionality in AI tools like Trae, Cursor or Claude, install using the button below.

Install MCP Server

Install MCP Server Install MCP Server

or add the following to your configuration file:

{
  "mcpServers": {
    "lark-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@larksuiteoapi/lark-mcp",
        "mcp",
        "-a",
        "<your_app_id>",
        "-s",
        "<your_app_secret>"
      ]
    }
  }
}

If you need to access APIs with user identity, you need to login first using the login command in the terminal. Note that you need to configure the application's redirect URL in the developer console first, default is http://localhost:3000/callback


# Login and get user access token
npx -y @larksuiteoapi/lark-mcp login -a cli_xxxx -s yyyyy
   
# Or optionally, login with specific OAuth scope - if not specified, all permissions will be authorized by default
npx -y @larksuiteoapi/lark-mcp login -a cli_xxxx -s yyyyy --scope offline_access docx:document

Then add the following to your configuration file:

{
  "mcpServers": {
    "lark-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@larksuiteoapi/lark-mcp",
        "mcp",
        "-a",
        "<your_app_id>",
        "-s",
        "<your_app_secret>",
        "--oauth",
        "--token-mode", "user_access_token"
      ]
    }
  }
}

Note: When enabling --oauth, it's recommended to explicitly set --token-mode to user_access_token, which means calling APIs with user access tokens, suitable for accessing user resources or scenarios requiring user authorization (such as reading personal documents, sending IM messages). If you keep the default auto, some APIs AI may fallback to tenant_access_token, which could result in insufficient permissions or inability to access user private data.

Domain Configuration

Based on your usage scenario, lark-mcp supports configuring different domain environments:

Feishu (China Version):

  • Default uses https://open.feishu.cn domain
  • Suitable for users in China

Lark (International Version):

  • Uses https://open.larksuite.com domain
  • Suitable for overseas users or international version of Lark

To switch to the international version of Lark, add the --domain parameter in your configuration:

{
  "mcpServers": {
    "lark-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@larksuiteoapi/lark-mcp",
        "mcp",
        "-a",
        "<your_app_id>",
        "-s",
        "<your_app_secret>",
        "--domain",
        "https://open.larksuite.com"
      ]
    }
  }
}

💡 Tip: Ensure your application is created in the corresponding domain environment's open platform. International version applications cannot be used with Feishu China version, and vice versa.

Custom API Configuration

⚠️ File Upload/Download: File upload and download operations are not yet supported

⚠️ Document Editing: Direct editing of Feishu cloud documents is not supported (only importing and reading are available)

By default, the MCP service enables common APIs. To enable other tools or only specific APIs or presets, you can specify them using the -t parameter in the MCP Client configuration (JSON):

{
  "mcpServers": {
    "lark-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@larksuiteoapi/lark-mcp",
        "mcp",
        "-a", "<your_app_id>",
        "-s", "<your_app_secret>",
        "-t", "im.v1.message.create,im.v1.message.list,im.v1.chat.create,preset.calendar.default"
      ]
    }
  }
}

For detailed information about all preset tool collections and which tools are included in each preset, please refer to the Preset Tool Collections Reference.

A complete list of all supported Feishu/Lark tools can be found in tools.md.

⚠️ Notice:Non-preset APIs have not undergone compatibility testing, and the AI may not perform optimally during the process of understanding and using them.

Development Integration

Developers can refer to the minimal example for integrating with Agent: lark-samples/mcp_quick_demo.

You can also refer to the Lark bot integration example: lark-samples/mcp_larkbot_demo/nodejs.

This example demonstrates how to integrate MCP capabilities into Feishu/Lark bots, triggering tool calls and message sending through bot conversations, suitable for scenarios that integrate existing tools into Bot.

Advanced Configuration

For detailed configuration options and deployment scenarios, please refer to our Configuration Guide.

For detailed information about all available command line parameters and their usage, please refer to the Command Line Reference.

FAQ

Related Links

Feedback

Issues are welcome to help improve this tool. If you have any questions or suggestions, please raise them in the GitHub repository.

FAQ

What is the Feishu/Lark MCP server?
Feishu/Lark is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Feishu/Lark?
This profile displays 64 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Discussion

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MCP server reviews

Ratings

4.764 reviews
  • Camila Abbas· Dec 28, 2024

    I recommend Feishu/Lark for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Noah Desai· Dec 24, 2024

    According to our notes, Feishu/Lark benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Arya Menon· Dec 20, 2024

    Feishu/Lark reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Camila Rahman· Dec 20, 2024

    Useful MCP listing: Feishu/Lark is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Olivia Haddad· Dec 12, 2024

    Strong directory entry: Feishu/Lark surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Hiroshi Sharma· Nov 19, 2024

    We evaluated Feishu/Lark against two servers with overlapping tools; this profile had the clearer scope statement.

  • Olivia Thompson· Nov 15, 2024

    Feishu/Lark has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Arya Iyer· Nov 11, 2024

    Useful MCP listing: Feishu/Lark is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Kwame Iyer· Nov 11, 2024

    Feishu/Lark reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Charlotte Garcia· Nov 3, 2024

    Feishu/Lark is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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