# io.github.j0hanz/superfetch

> Use this tool when you need to extract web content and convert HTML to a machine-readable format. It solves problems of web data extraction and preprocessing for AI applications by fetching HTML content and outputting clean JSONL data. Ideal for use cases where structured data is required, such as text analysis, information retrieval, or machine learning model training.

Canonical page: https://skillsregistry.net/skills/io-github-j0hanz-superfetch  
JSON: https://api.skillsregistry.net/v1/skills/io-github-j0hanz-superfetch

## Description

Intelligent web content fetcher MCP server that converts HTML to clean, AI-readable JSONL format

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.j0hanz%2Fsuperfetch)
- **Repository:** <https://github.com/j0hanz/super-fetch-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": "io-github-j0hanz-superfetch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-j0hanz-superfetch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-j0hanz-superfetch/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