# WinAutoWx

> Use this tool when you need to automate WeChat operations on Windows, such as sending bulk messages to multiple contacts or groups, or controlling the WeChat interface programmatically. It solves problems like manual messaging and repetitive tasks, providing a convenient interface for searching contacts and sending messages. Inputs include contact information and message content, with outputs being automated WeChat interactions via the MCP protocol.

Canonical page: https://skillsregistry.net/skills/pmhw-winautowx  
JSON: https://api.skillsregistry.net/v1/skills/pmhw-winautowx

## Description

Enables automated WeChat operations on Windows through pywinauto, allowing users to send messages to multiple friends or groups programmatically. Provides tools for searching contacts, sending bulk messages, and controlling WeChat interface elements via MCP protocol.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/icmvzlg0d8)
- **Repository:** <https://github.com/pmhw/WinAutoWx>

## 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": "pmhw-winautowx"
    }
  }
}
```

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

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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