# WeChat Article Extractor

> Use this tool when you need to extract valuable information from WeChat official account articles. It solves the problem of manually copying content by automatically extracting the title, author, and content in Markdown format from a given URL. It takes a WeChat article URL as input and outputs the extracted data, making it ideal for content aggregation, research, or archiving tasks.

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

## Description

Extracts title, author, and content (in Markdown format) from WeChat official account articles via URL, supporting both MCP stdio and HTTP server modes.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jgkl5zhqd6)
- **Repository:** <https://github.com/guanshilong/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": "guanshilong-mcp"
    }
  }
}
```

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