WeCom Bot Integration
STDIOModel Context Protocol compliant server implementation for WeCom bot messaging.
Model Context Protocol compliant server implementation for WeCom bot messaging.
A Model Context Protocol (MCP) compliant server implementation for WeCom (WeChat Work) bot.
There are several ways to install WeCom Bot MCP Server:
npx -y @smithery/cli install wecom-bot-mcp-server --client claude
pip install wecom-bot-mcp-server
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" } } } }
# 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
The logging system uses platformdirs.user_log_dir()
for cross-platform log file management:
C:\Users\<username>\AppData\Local\hal\wecom-bot-mcp-server
~/.local/share/hal/wecom-bot-mcp-server
~/Library/Application Support/hal/wecom-bot-mcp-server
The log file is named mcp_wecom.log
and is stored in the above directory.
wecom-bot-mcp-server
# 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" )
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"] )
from wecom_bot_mcp_server import send_wecom_file # Send file await send_wecom_file("/path/to/file.txt")
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")
git clone https://github.com/loonghao/wecom-bot-mcp-server.git cd wecom-bot-mcp-server
# 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]"
# Using uv (recommended) uvx nox -s pytest # Or using traditional method nox -s pytest
# Check code uvx nox -s lint # Automatically fix code style issues uvx nox -s lint_fix
# Build the package uv build # Build and publish to PyPI uv build && twine upload dist/*
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
This project is licensed under the MIT License - see the LICENSE file for details.