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WeCom Bot MCP Server

by loonghao
OverviewSchemaRelated ServersScore
Python
Remote
MIT License
64
  • Linux
  • Apple

WeCom Bot MCP Server

A Model Context Protocol (MCP) compliant server implementation for WeCom (WeChat Work) bot.

PyPI version Python Version codecov Code style: ruff smithery badge

English | 中文

Features

  • Support for multiple message types:

    • Text messages

    • Markdown messages

    • Image messages (base64)

    • File messages

  • @mention support (via user ID or phone number)

  • Message history tracking

  • Configurable logging system

  • Full type annotations

  • Pydantic-based data validation

Related MCP server: MCP Webhook Server

Requirements

  • Python 3.10+

  • WeCom Bot Webhook URL (obtained from WeCom group settings)

Installation

There are several ways to install WeCom Bot MCP Server:

1. Automated Installation (Recommended)

Using Smithery (For Claude Desktop):

npx -y @smithery/cli install wecom-bot-mcp-server --client claude

Using VSCode with Cline Extension:

  1. Install Cline Extension from VSCode marketplace

  2. Open Command Palette (Ctrl+Shift+P / Cmd+Shift+P)

  3. Search for "Cline: Install Package"

  4. Type "wecom-bot-mcp-server" and press Enter

2. Manual Installation

Install from PyPI:

pip install wecom-bot-mcp-server

Configure MCP manually:

Create or update your MCP configuration file:

// For Windsurf: ~/.windsurf/config.json { "mcpServers": { "wecom": { "command": "uvx", "args": [ "wecom-bot-mcp-server" ], "env": { "WECOM_WEBHOOK_URL": "your-webhook-url" } } } }

Configuration

Setting Environment Variables

# Windows PowerShell $env:WECOM_WEBHOOK_URL = "your-webhook-url" # Optional configurations $env:MCP_LOG_LEVEL = "DEBUG" # Log levels: DEBUG, INFO, WARNING, ERROR, CRITICAL $env:MCP_LOG_FILE = "path/to/custom/log/file.log" # Custom log file path

Log Management

The logging system uses platformdirs.user_log_dir() for cross-platform log file management:

  • Windows: C:\Users\<username>\AppData\Local\hal\wecom-bot-mcp-server

  • Linux: ~/.local/share/hal/wecom-bot-mcp-server

  • macOS: ~/Library/Application Support/hal/wecom-bot-mcp-server

The log file is named mcp_wecom.log and is stored in the above directory.

Usage

Starting the Server

wecom-bot-mcp-server

Usage Examples (With MCP)

# Scenario 1: Send weather information to WeCom USER: "How's the weather in Shenzhen today? Send it to WeCom" ASSISTANT: "I'll check Shenzhen's weather and send it to WeCom" await mcp.send_message( content="Shenzhen Weather:\n- Temperature: 25°C\n- Weather: Sunny\n- Air Quality: Good", msg_type="markdown" ) # Scenario 2: Send meeting reminder and @mention relevant people USER: "Send a reminder for the 3 PM project review meeting, remind Zhang San and Li Si to attend" ASSISTANT: "I'll send the meeting reminder" await mcp.send_message( content="## Project Review Meeting Reminder\n\nTime: Today 3:00 PM\nLocation: Meeting Room A\n\nPlease be on time!", msg_type="markdown", mentioned_list=["zhangsan", "lisi"] ) # Scenario 3: Send a file USER: "Send this weekly report to the WeCom group" ASSISTANT: "I'll send the weekly report" await mcp.send_message( content=Path("weekly_report.docx"), msg_type="file" )

Direct API Usage

Send Messages

from wecom_bot_mcp_server import mcp # Send markdown message await mcp.send_message( content="**Hello World!**", msg_type="markdown" ) # Send text message and mention users await mcp.send_message( content="Hello @user1 @user2", msg_type="text", mentioned_list=["user1", "user2"] )

Send Files

from wecom_bot_mcp_server import send_wecom_file # Send file await send_wecom_file("/path/to/file.txt")

Send Images

from wecom_bot_mcp_server import send_wecom_image # Send local image await send_wecom_image("/path/to/image.png") # Send URL image await send_wecom_image("https://example.com/image.png")

Development

Setup Development Environment

  1. Clone the repository:

git clone https://github.com/loonghao/wecom-bot-mcp-server.git cd wecom-bot-mcp-server

  1. Create a virtual environment and install dependencies:

# Using uv (recommended) pip install uv uv venv uv pip install -e ".[dev]" # Or using traditional method python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -e ".[dev]"

Testing

# Using uv (recommended) uvx nox -s pytest # Or using traditional method nox -s pytest

Code Style

# Check code uvx nox -s lint # Automatically fix code style issues uvx nox -s lint_fix

Building and Publishing

# Build the package uv build # Build and publish to PyPI uv build && twine upload dist/*

Project Structure

wecom-bot-mcp-server/ ├── src/ │ └── wecom_bot_mcp_server/ │ ├── __init__.py │ ├── server.py │ ├── message.py │ ├── file.py │ ├── image.py │ ├── utils.py │ └── errors.py ├── tests/ │ ├── test_server.py │ ├── test_message.py │ ├── test_file.py │ └── test_image.py ├── docs/ ├── pyproject.toml ├── noxfile.py └── README.md

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

  • Author: longhao

  • Email: hal.long@outlook.com

This server cannot be installed

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security - not tested
A
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