# Web Fetch

> Use this tool when you need to retrieve web content in various formats, such as HTML, JSON, text, or Markdown, for web scraping, content analysis, or data extraction. It provides a customizable and easy-to-integrate solution with desktop applications that support the Model Context Protocol. The tool takes URLs as input and outputs the retrieved content in the specified format, making it a useful addition to workflows that require accessing web data without leaving the conversation interface.

Canonical page: https://skillsregistry.net/skills/tokenizin-fetch  
JSON: https://api.skillsregistry.net/v1/skills/tokenizin-fetch

## Description

Fetch MCP Server provides web content retrieval capabilities through four specialized tools: fetch_html, fetch_json, fetch_txt, and fetch_markdown. Built by Zach Caceres, this TypeScript implementation uses modern fetch API with customizable headers, JSDOM for HTML parsing, and TurndownService for Markdown conversion. The server runs on stdio transport, making it easy to integrate with desktop applications that support the Model Context Protocol. It's particularly useful for workflows requiring web scraping, content analysis, or data extraction in various formats without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tokenizin-fetch)
- **Repository:** <https://github.com/tokenizin/mcp-npx-fetch>

## 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": "tokenizin-fetch"
    }
  }
}
```

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