Fetch and Convert turns web content into Markdown using JSDOM and Turndown—perfect for link markdown and md format needs
Fetch and extract information from websites automatically
Example: Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example: Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example: Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Interact with services that don't offer APIs
Example: Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
BugBug
Manage browser tests and suites with BugBug's software automation tester, headless browsers, and real-time error reporti
YggTorrent
Securely access YggTorrent with an unofficial API for torrent search, category filtering, metadata, and magnet link gene
Genkit
Genkit — consume MCP resources or expose powerful Genkit tools as a server for streamlined development and integration.
MCP Aggregator
A centralized gateway for managing multiple MCP server connections. Instead of configuring each MCP server individually
MCP Use
The fullstack MCP framework for developing MCP apps for ChatGPT, Claude, and building MCP servers for AI agents. Connect
We evaluated Fetch and Convert against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Fetch and Convert benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Fetch and Convert is the kind of server we cite when onboarding engineers to host + tool permissions.
Fetch and Convert is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Fetch and Convert is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Fetch and Convert against two servers with overlapping tools; this profile had the clearer scope statement.
Fetch and Convert has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Fetch and Convert against two servers with overlapping tools; this profile had the clearer scope statement.
Fetch and Convert reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Fetch and Convert for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
showing 1-10 of 61
Share your MCP server with the developer community
Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"fetch": {
"command": "npx",
"args": [
"-y",
"@tokenizin/mcp-npx-fetch"
],
"env": {}
}
}
}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.
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.
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.
A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease.
Installation • Features • Usage • Documentation • Contributing
</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>
npm install -g @tokenizin/mcp-npx-fetch
npx @tokenizin/mcp-npx-fetch
fetch_htmlFetches and returns raw HTML content from any URL.
{
url: string; // Required: Target URL
headers?: { // Optional: Custom request headers
[key: string]: string;
};
}
fetch_jsonFetches and parses JSON data from any URL.
{
url: string; // Required: Target URL
headers?: { // Optional: Custom request headers
[key: string]: string;
};
}
fetch_txtFetches 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_markdownFetches content and converts it to well-formatted Markdown.
{
url: string; // Required: Target URL
headers?: { // Optional: Custom request headers
[key: string]: string;
};
}
Start the MCP server directly:
mcp-npx-fetch
Or via npx:
npx @tokenizin/mcp-npx-fetch
Locate your Claude Desktop configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%/Claude/claude_desktop_config.json~/.config/Claude/claude_desktop_config.jsonAdd the following configuration to your mcpServers object:
{
"mcpServers": {
"fetch": {
"command": "npx",
"args": ["-y", "@tokenizin/mcp-npx-fetch"],
"env": {}
}
}
}
git clone https://github.com/tokenizin-agency/mcp-npx-fetch.git
cd mcp-npx-fetch
npm install
npm run dev
npm test
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.
git checkout -b feature/AmazingFeature)git commit -m 'Add some AmazingFeature')git push origin feature/AmazingFeature)This project is licensed under the MIT License - see the LICENSE file for details.
Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
Web Search
Web Search MCP Server delivers powerful Z.AI web search and real-time info retrieval for MCP-compatible clients like Cla