# WeChat Article Parser

> Use this tool when you need to extract insights from WeChat public account articles, such as metadata, content, and summaries. It solves problems like information overload and manual content analysis by providing AI-powered summaries with semantic analysis and viewpoint extraction. The tool takes WeChat article URLs or content as input and outputs structured data with extracted metadata, summaries, and analysis results.

Canonical page: https://skillsregistry.net/skills/zenmindyj-mcp101  
JSON: https://api.skillsregistry.net/v1/skills/zenmindyj-mcp101

## Description

Parses WeChat public account articles to extract metadata, content, and generate AI-powered summaries with semantic analysis, viewpoint extraction, and structure analysis capabilities.

## 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:** other
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p1vv2gsuyp)
- **Repository:** <https://github.com/zenmindyj/mcp101>

## 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": "zenmindyj-mcp101"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zenmindyj-mcp101` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zenmindyj-mcp101/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