mcp-server-wechat

Name: mcp-server-wechat
Author: interiv

@interiv

リポジトリ

mcp-server-wechat について

实现pc端微信的mcp服务功能

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

python

トランスポート

stdio

公開者

interiv

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.