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mcp-server-wechat

@interiv

关于 mcp-server-wechat

实现pc端微信的mcp服务功能

基本信息

分类

其他

许可证

MIT

运行时

python

传输方式

stdio

发布者

interiv

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-wechat": {
      "command": "D:\\PythonCode\\mcp-wechat\\mcp-wechat\\.venv\\Scripts\\python",
      "args": [
        "D:\\PythonCode\\mcp-wechat\\mcp-wechat\\main.py"
      ],
      "disabled": false,
      "autoApprove": [
        "wechat"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is mcp-server-wechat?

mcp-server-wechat implements an MCP (Model Context Protocol) service for PC WeChat. It is a single-file Python script that requires installing dependencies and setting up a virtual environment.

How to use mcp-server-wechat?

Install dependencies, create a virtual environment, and place the main.py file. Then configure the server in cline_mcp_settings.json (for VSCode with Cline) by setting the command to the Python executable in the virtual environment and args to the path of main.py.

Key features of mcp-server-wechat

  • Single-file Python implementation
  • Provides MCP service for PC WeChat
  • Designed for use with Cline in VSCode
  • Requires manual dependency installation and virtual environment

Use cases of mcp-server-wechat

FAQ from mcp-server-wechat

What does this server do?

It provides an MCP (Model Context Protocol) service that interfaces with PC WeChat, enabling AI tools (e.g., Cline) to interact with WeChat through the protocol.

What runtime environment is required?

A Python virtual environment with all necessary dependencies installed. The exact command configuration points to the Python executable within that virtual environment.

How do I configure it with VSCode and Cline?

Add a JSON entry to cline_mcp_settings.json (located at a path like C:\Users\Administrator\AppData\Roaming\Code\User\globalStorage\saoudrizwan.claude-dev\settings\), specifying command as the virtual environment’s Python interpreter and args as the path to main.py.

Are there any known limitations?

What dependencies are needed?

The README states to install dependencies yourself (自行安装依赖) but does not list them explicitly.

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