# Fetch

> Use this tool when you need to retrieve web content in various formats, such as HTML, JSON, plain text, and Markdown, and simplify web scraping and content transformation tasks. It solves problems like content aggregation, web research, and data extraction by providing a standardized interface for fetching online information. The Fetch tool takes URLs and custom headers as input and outputs the retrieved content in the desired format, making it ideal for AI systems that require online data processing and automation.

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

## Description

This fetch MCP server, developed by Zach Caceres, provides AI assistants with a standardized interface for retrieving web content in various formats. Built using TypeScript and the Model Context Protocol SDK, it offers tools for fetching HTML, JSON, plain text, and Markdown from URLs. The server handles custom headers, HTML parsing, and Markdown conversion, abstracting away the complexities of web scraping and content transformation. It's particularly valuable for AI systems that need to gather and process online information, enabling use cases such as content aggregation, web research, data extraction, and automated summarization of web pages.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zcaceres-fetch)
- **Repository:** <https://github.com/zcaceres/fetch-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": "zcaceres-fetch"
    }
  }
}
```

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