Skip to main content

A Model Context Protocol server for accessing Lark documents

Project description

MCP Server My Lark Doc

A Model Context Protocol server for searching and accessing Lark(Feishu) documents.

Features

Document Content Access

  • Supports both Lark Doc and Wiki document types
  • Automatically handles document type detection and ID extraction
  • Returns raw content in text format for LLM processing

Authentication

  • OAuth-based user authentication
  • Automatic token refresh and expiration management
  • Customizable OAuth callback server

Error Handling

  • Comprehensive error reporting for authentication issues
  • Clear feedback for invalid document URLs
  • Detailed error messages for troubleshooting

Installation

uvx mcp-server-my-lark-doc

Configuration

Get your Lark App ID and App Secret

Visit the Lark Open Platform: https://open.larkoffice.com/app

Make Sure your Lark App has Permissions below

wiki:wiki:readonly
wiki:node:read
docx:document:readonly
search:docs:read

Environment Variables

Before using this MCP server, you need to set up your Lark application credentials:

  1. Create a Lark application in Lark Open Platform
  2. Get your App ID and App Secret
  3. Configure environment variables:
export LARK_APP_ID="your_app_id"
export LARK_APP_SECRET="your_app_secret"
export OAUTH_HOST="localhost"               # OAuth callback server host (default: localhost)
export OAUTH_PORT="9997"                   # OAuth callback server port (default: 9997)

Usage

Configure in Claude desktop:

"mcpServers": {
    "lark_doc": {
        "command": "uvx",
        "args": ["mcp-server-my-lark-doc"],
        "env": {
            "LARK_APP_ID": "your app id",
            "LARK_APP_SECRET": "your app secret",
            "OAUTH_HOST": "localhost",   // optional   
            "OAUTH_PORT": "9997"        // optional  
        }
    }
}

Available Tools

  1. get_lark_doc_content

  2. search_wiki

    • Purpose: Search documents in Lark Wiki
    • Args:
      • query (string) - Search keywords
      • page_size (int, optional) - Number of results to return (default: 10)
    • Returns: JSON string containing search results with following fields:
      • title: Document title
      • url: Document URL
      • create_time: Document creation time
      • update_time: Document last update time

Error Messages

Common error messages and their solutions:

  • "Lark client not properly initialized": Check your LARK_APP_ID and LARK_APP_SECRET
  • "Invalid Lark document URL format": Verify the document URL format
  • "Failed to get document content": Check document permissions and token validity
  • "Failed to get app access token": Check your application credentials and network connection
  • "Failed to get wiki document real ID": Check if the wiki document exists and you have proper permissions
  • "Document content is empty": The document might be empty or you might not have access to its content
  • "Authorization timeout": ser didn't complete authorization within 5 minutes

Development Notes

OAuth Callback Server

Default configuration:

  • Host: localhost

  • Port: 9997 Customize via environment variables:

  • OAUTH_HOST: Set callback server host

  • OAUTH_PORT: Set callback server port

License

MIT License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_lark_doc_manage-0.1.7.tar.gz (79.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_lark_doc_manage-0.1.7-py3-none-any.whl (8.5 kB view details)

Uploaded Python 3

File details

Details for the file mcp_lark_doc_manage-0.1.7.tar.gz.

File metadata

  • Download URL: mcp_lark_doc_manage-0.1.7.tar.gz
  • Upload date:
  • Size: 79.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.9

File hashes

Hashes for mcp_lark_doc_manage-0.1.7.tar.gz
Algorithm Hash digest
SHA256 eca9c59faad7733d30d4ec409a35a8c5d4b79660fb2e3827784d0ad4e8b02379
MD5 058bb557c605731aa452a507c69e3819
BLAKE2b-256 16bcb36c90d903e7afd06cf730a9bbb23118bf5ba911444e0f2b14ef6b01bfa9

See more details on using hashes here.

File details

Details for the file mcp_lark_doc_manage-0.1.7-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_lark_doc_manage-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 0b0a2258a2b71ed8a844724fa372820816d7219f58a252ffdc7fbb7c9e958b69
MD5 1da73c7047acbc7d521cc95670500125
BLAKE2b-256 0ad59903db23741c625aa457baaf03a4faa8c97be346ae65a099b280585432af

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page