search-webdeveloper-tools

Fetch and Convert

by tokenizin-agency

Fetch and Convert turns web content into Markdown using JSDOM and Turndown—perfect for link markdown and md format needs

Fetches and converts web content to Markdown using JSDOM and Turndown.

github stars

41

4 output formats availableCustom headers supportTypeScript with full type definitions

best for

  • / Content creators extracting articles for research
  • / Developers scraping web data for applications
  • / Documentation teams converting web content to Markdown
  • / Data analysts gathering information from websites

capabilities

  • / Fetch web pages as raw HTML
  • / Convert web content to clean Markdown
  • / Extract plain text from web pages
  • / Retrieve and parse JSON from URLs
  • / Add custom headers for authenticated requests

what it does

Fetches web content from any URL and converts it into different formats like HTML, Markdown, plain text, or JSON. Built with JSDOM and Turndown for reliable content transformation.

about

Fetch and Convert is a community-built MCP server published by tokenizin-agency that provides AI assistants with tools and capabilities via the Model Context Protocol. Fetch and Convert turns web content into Markdown using JSDOM and Turndown—perfect for link markdown and md format needs It is categorized under search web, developer tools. This server exposes 4 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Fetch and Convert in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Fetch and Convert is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

MCP NPX Fetch

<div align="center">

npm version License: MIT TypeScript Model Context Protocol

A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease.

InstallationFeaturesUsageDocumentationContributing

</div>

<a href="https://glama.ai/mcp/servers/m2a0ue08n2"><img width="380" height="200" src="https://glama.ai/mcp/servers/m2a0ue08n2/badge" alt="NPX Fetch MCP server" /></a>


🚀 Features

  • 🌐 Universal Content Fetching: Supports HTML, JSON, plain text, and Markdown formats
  • 🔒 Custom Headers Support: Add authentication and custom headers to your requests
  • 🛠 Built-in Transformations: Automatic conversion between formats
  • High Performance: Built with modern JavaScript features and optimized for speed
  • 🔌 MCP Compatible: Seamlessly integrates with Claude Desktop and other MCP clients
  • 🎯 Type-Safe: Written in TypeScript with full type definitions

📦 Installation

NPM Global Installation

npm install -g @tokenizin/mcp-npx-fetch

Direct Usage with NPX

npx @tokenizin/mcp-npx-fetch

📚 Documentation

Available Tools

fetch_html

Fetches and returns raw HTML content from any URL.

{
  url: string;     // Required: Target URL
  headers?: {      // Optional: Custom request headers
    [key: string]: string;
  };
}

fetch_json

Fetches and parses JSON data from any URL.

{
  url: string;     // Required: Target URL
  headers?: {      // Optional: Custom request headers
    [key: string]: string;
  };
}

fetch_txt

Fetches and returns clean plain text content, removing HTML tags and scripts.

{
  url: string;     // Required: Target URL
  headers?: {      // Optional: Custom request headers
    [key: string]: string;
  };
}

fetch_markdown

Fetches content and converts it to well-formatted Markdown.

{
  url: string;     // Required: Target URL
  headers?: {      // Optional: Custom request headers
    [key: string]: string;
  };
}

🔧 Usage

CLI Usage

Start the MCP server directly:

mcp-npx-fetch

Or via npx:

npx @tokenizin/mcp-npx-fetch

Claude Desktop Integration

  1. Locate your Claude Desktop configuration file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%/Claude/claude_desktop_config.json
    • Linux: ~/.config/Claude/claude_desktop_config.json
  2. Add the following configuration to your mcpServers object:

{
  "mcpServers": {
    "fetch": {
      "command": "npx",
      "args": ["-y", "@tokenizin/mcp-npx-fetch"],
      "env": {}
    }
  }
}

💻 Local Development

  1. Clone the repository:
git clone https://github.com/tokenizin-agency/mcp-npx-fetch.git
cd mcp-npx-fetch
  1. Install dependencies:
npm install
  1. Start development mode:
npm run dev
  1. Run tests:
npm test

🛠 Technical Stack

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'Add some AmazingFeature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.


<div align="center"> Made with ❤️ by <a href="https://github.com/tokenizin-agency">PT Tokenizin Technology Agency</a> </div>

FAQ

What is the Fetch and Convert MCP server?
Fetch and Convert is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Fetch and Convert?
This profile displays 61 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.761 reviews
  • Kabir Kim· Dec 24, 2024

    We evaluated Fetch and Convert against two servers with overlapping tools; this profile had the clearer scope statement.

  • Zaid Sethi· Dec 20, 2024

    According to our notes, Fetch and Convert benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Henry Verma· Dec 16, 2024

    Useful MCP listing: Fetch and Convert is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Liam Park· Dec 8, 2024

    Fetch and Convert is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Zaid Reddy· Nov 27, 2024

    Fetch and Convert is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Rahul Santra· Nov 19, 2024

    We evaluated Fetch and Convert against two servers with overlapping tools; this profile had the clearer scope statement.

  • Olivia White· Nov 11, 2024

    Fetch and Convert has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Layla Choi· Nov 11, 2024

    We evaluated Fetch and Convert against two servers with overlapping tools; this profile had the clearer scope statement.

  • Ishan Bhatia· Nov 7, 2024

    Fetch and Convert reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Nikhil Farah· Nov 7, 2024

    I recommend Fetch and Convert for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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