# WeChat MCP Server

> Use this tool when you need to automate WeChat interactions on macOS, enabling large language models (LLMs) to fetch recent messages and send replies based on conversation history. It solves problems of manual message handling and response generation, providing inputs of recent conversation data and outputs of automated reply messages. Ideal for use cases requiring automated customer support or chatbot integration with WeChat on macOS.

Canonical page: https://skillsregistry.net/skills/biboyqg-wechat-mcp  
JSON: https://api.skillsregistry.net/v1/skills/biboyqg-wechat-mcp

## Description

Enables automation of WeChat on macOS through the Accessibility API, allowing LLMs to fetch recent messages from contacts and send replies based on conversation history.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/asd8gkodj6)
- **Repository:** <https://github.com/BiboyQG/WeChat-MCP>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "biboyqg-wechat-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/biboyqg-wechat-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/biboyqg-wechat-mcp/pull`

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