WeCom Bot MCP Server
微信机器人MCP服务器
适用于 WeCom(企业微信)机器人的模型上下文协议 (MCP) 兼容服务器实现。
特征
支持多种消息类型:
短信
Markdown 消息
图片消息(base64)
文件消息
@mention 支持(通过用户 ID 或电话号码)
消息历史追踪
可配置的日志系统
完整类型注释
基于 Pydantic 的数据验证
Related MCP server: EdgeOne MCP Pusher
要求
Python 3.10+
WeCom Bot Webhook URL(从 WeCom 群设置中获取)
安装
安装 WeCom Bot MCP Server 有以下几种方式:
1.自动安装(推荐)
使用 Smithery(适用于 Claude Desktop):
npx -y @smithery/cli install wecom-bot-mcp-server --client claude使用带有 Cline 扩展的 VSCode:
从 VSCode 市场安装Cline 扩展
打开命令面板(Ctrl+Shift+P / Cmd+Shift+P)
搜索“Cline:安装包”
输入“wecom-bot-mcp-server”并按 Enter 键
2.手动安装
从 PyPI 安装:
pip install wecom-bot-mcp-server手动配置 MCP:
创建或更新您的 MCP 配置文件:
// For Windsurf: ~/.windsurf/config.json
{
"mcpServers": {
"wecom": {
"command": "uvx",
"args": [
"wecom-bot-mcp-server"
],
"env": {
"WECOM_WEBHOOK_URL": "your-webhook-url"
}
}
}
}配置
设置环境变量
# 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日志管理
日志系统使用platformdirs.user_log_dir()进行跨平台日志文件管理:
Windows:
C:\Users\<username>\AppData\Local\hal\wecom-bot-mcp-serverLinux:
~/.local/share/hal/wecom-bot-mcp-servermacOS:
~/Library/Application Support/hal/wecom-bot-mcp-server
日志文件名为mcp_wecom.log ,存储在上述目录中。
用法
启动服务器
wecom-bot-mcp-server使用示例(使用 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"
)直接使用 API
发送消息
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"]
)发送文件
from wecom_bot_mcp_server import send_wecom_file
# Send file
await send_wecom_file("/path/to/file.txt")发送图像
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")发展
设置开发环境
克隆存储库:
git clone https://github.com/loonghao/wecom-bot-mcp-server.git
cd wecom-bot-mcp-server创建虚拟环境并安装依赖项:
# 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]"测试
# Using uv (recommended)
uvx nox -s pytest
# Or using traditional method
nox -s pytest代码风格
# Check code
uvx nox -s lint
# Automatically fix code style issues
uvx nox -s lint_fix构建和发布
# Build the package
uv build
# Build and publish to PyPI
uv build && twine upload dist/*项目结构
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执照
该项目根据 MIT 许可证获得许可 - 有关详细信息,请参阅LICENSE文件。
接触
作者:longhao
电子邮件: hal.long@outlook.com
This server cannot be deployed
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