# WeChat

> Use this tool when you need to access and analyze WeChat data, such as message history, contacts, and favorites, to solve problems like monitoring conversations, extracting communication styles, and managing stickers. It provides a database decryption and querying interface, supporting stdio and SSE transports, and requires WeChat to be running locally. This tool is ideal for use cases involving near-real-time message monitoring and data extraction from WeChat sessions.

Canonical page: https://skillsregistry.net/skills/1335907208-wechat  
JSON: https://api.skillsregistry.net/v1/skills/1335907208-wechat

## Description

Provides AI assistants with access to locally stored WeChat data through database decryption and querying, exposing 20+ tools across sessions, message history, contacts, unread messages, and favorites. Supports near-real-time message monitoring, communication style extraction from chat history, sticker management, and both stdio and SSE transports. Requires WeChat to be running locally.

## Trust

- **Trust score (0–1):** 0.33
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/1335907208-wechat)
- **Repository:** <https://github.com/1335907208/wechat-mcp-server>

## 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": "1335907208-wechat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/1335907208-wechat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/1335907208-wechat/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt