# WeChat Article Parser

> Use this tool when you need to extract content from WeChat public account articles, solving problems of data collection and content reuse. It takes WeChat article URLs as input and outputs parsed content in formats such as JSON, Markdown, and HTML, along with extracted media resources. Ideal for use cases involving content migration, data analysis, or archiving of WeChat articles.

Canonical page: https://skillsregistry.net/skills/shiwei73-mcp  
JSON: https://api.skillsregistry.net/v1/skills/shiwei73-mcp

## Description

Enables parsing and extracting content from WeChat public account articles using browser simulation, supporting multiple output formats (JSON, Markdown, HTML) and media resource extraction.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zv9nth929d)
- **Repository:** <https://github.com/shiwei73/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": "shiwei73-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shiwei73-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shiwei73-mcp/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