WeChat-MCP

作者 BiboyQG已验证

WeChat-MCP: let Openclaw/Claude/ChatGPT and other AI assistants read and reply to WeChat for you

242
Stars
73
Forks
Python
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/BiboyQG/WeChat-MCP

快速入门

使用 WeChat-MCP 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

WeChat MCP Server

Python 3.12+ PyPI version License: MIT

中文 | English

An MCP server that automates WeChat on macOS using the Accessibility API and screen capture. It enables LLMs to interact with WeChat chats programmatically.

Features

  • 📨 Fetch recent messages from any chat (contact or group)

  • ✍️ Send automated replies based on chat history

  • 📷 Publish text-only Moments posts, with optional draft-only mode

  • 👥 Add contacts using WeChat ID with configurable privacy

  • 🔍 Smart chat search with exact name matching

  • 🤖 5 specialized Claude Code sub-agents for smart WeChat automation

Quick Start

Installation

pip install wechat-mcp-server

Setup with Claude Code

# If installed via pip
claude mcp add --transport stdio wechat-mcp -- wechat-mcp

# If using uv for development
claude mcp add --transport stdio wechat-mcp -- uv --directory $(pwd) run wechat-mcp
// If installed via pip
{
  "mcpServers": {
    "wechat-mcp": {
      "type": "stdio",
      "command": "wechat-mcp"
    }
  }
}

// If using uv for development
{
  "mcpServers": {
    "wechat-mcp": {
      "type": "stdio",
      "command": "uv",
      "args": [
        "--directory",
        "{path/to/wechat-mcp}",
        "run",
        "wechat-mcp"
      ],
    }
  }
}
# If installed via pip
codex mcp add wechat-mcp -- wechat-mcp

# If using uv for development
codex mcp add wechat-mcp -- uv --directory $(pwd) run wechat-mcp

macOS Permissions

⚠️ Important: Grant Accessibility permissions to your terminal:

  • Open System Settings → Privacy & Security → Accessibility

  • Add your terminal application (Terminal.app, iTerm2, etc.)

  • Ensure WeChat is running before using the server

Usage

Basic Commands

# Run with default stdio transport
wechat-mcp --transport stdio

# Run with HTTP transport
wechat-mcp --transport streamable-http

# Run with SSE transport
wechat-mcp --transport sse

Available MCP Tools

  • fetch_messages_by_chat - Get recent messages from a chat

  • reply_to_messages_by_chat - Send a reply to a chat

  • add_contact_by_wechat_id - Add a new contact using a WeChat ID and send a friend request

  • publish_moment_without_media - Publish a text-only Moments post (no photos or videos); optionally only prepare a draft without posting via publish=False

See detailed API documentation for full tool specifications.

Claude Code Sub-Agents

This project includes 5 intelligent sub-agents designed specifically for WeChat automation. They enable natural language control of WeChat through Claude Code.

Available Sub-Agents

  • Chat-summarizer - Summarize chat history and extract key information

  • Auto-replier - Auto-generate and send appropriate replies

  • Message-searcher - Search chat history for specific content

  • Multi-chat-checker - Monitor multiple chats and prioritize messages

  • Chat-insights - Analyze relationship dynamics and communication patterns

📖 View complete sub-agents guide

Development

Local Setup with uv

# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh

# Clone and setup
git clone https://github.com/yourusername/WeChat-MCP.git
cd WeChat-MCP
uv sync

# Run locally
uv run wechat-mcp --transport stdio

Documentation

Requirements

  • macOS (uses Accessibility API)

  • WeChat for Mac installed and running

  • Python 3.12+

  • Accessibility permissions for terminal

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see LICENSE file for details

常见问题

What is WeChat-MCP?

WeChat-MCP is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by BiboyQG. WeChat-MCP: let Openclaw/Claude/ChatGPT and other AI assistants read and reply to WeChat for you. It has 242 GitHub stars.

Is WeChat-MCP safe to use?

Yes. WeChat-MCP passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install WeChat-MCP?

Clone the repository with "git clone https://github.com/BiboyQG/WeChat-MCP" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is WeChat-MCP written in?

WeChat-MCP is primarily written in Python. It is open-source under BiboyQG on GitHub, so you can review or fork the full source.

Are there alternatives to WeChat-MCP?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh WeChat-MCP against similar tools.

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