mcp-fetch-node
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-fetch-nodefetch https://en.wikipedia.org/wiki/MCP"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Fetch MCP Server
A port of the official Fetch MCP Server for Node.js. Please check the key differences with original project section for more details.
Description
A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.
The fetch tool will truncate the response, but by using the start_index argument, you can specify where to start the content extraction. This lets models read a webpage in chunks, until they find the information they need.
Available Tools
fetch- Fetches a URL from the internet and extracts its contents as markdown.url(string, required): URL to fetchmax_length(integer, optional): Maximum number of characters to return (default: 5000)start_index(integer, optional): Start content from this character index (default: 0)raw(boolean, optional): Get raw content without markdown conversion (default: false)
Available Prompts
fetch- Fetch a URL and extract its contents as markdownurl(string, required): URL to fetch
Usage
mcp-fetch-node exposes an SSE endpoint at /sse on port 8080 by default.
Node.js:
npx -y mcp-fetch-nodeDocker:
docker run -it tgambet/mcp-fetch-nodeCustomization - robots.txt
By default, the server will obey a websites robots.txt file if the request came from the model (via a tool), but not if the request was user initiated (via a prompt). This can be disabled by adding the argument --ignore-robots-txt to the run command.
Customization - User-agent
By default, depending on if the request came from the model (via a tool), or was user initiated (via a prompt), the server will use either the user-agent
# Tool call
ModelContextProtocol/1.0 (Autonomous; +https://github.com/tgambet/mcp-fetch-node)
# Prompt
ModelContextProtocol/1.0 (User-Specified; +https://github.com/tgambet/mcp-fetch-node)This can be customized by adding the argument --user-agent=YourUserAgent to the run command, which will override both.
Key differences with the original project
This implementation is written in TypeScript and targets the Node.js runtime. It is suited for situations where python is not available.
This implementation provides an SSE interface instead of stdio. It is more suitable for deployment as a web service, increasing flexibility.
This implementation does not rely on Readability.js library for content extraction. It uses a custom implementation that is more generic and suited for websites other that news-related ones.
The api and tool description is, however, the same as the original project so you can try mcp-fetch-node as a drop-in replacement for the original project.
Please report any issue to the issue tracker.
Features
Fetch and extract relevant content from a URL
Respect
robots.txt(can be disabled)User-Agent customization
Markdown conversion
Pagination
Development
pnpm install
pnpm dev
pnpm lint:fix
pnpm format
pnpm test
pnpm build
pnpm start
pnpm inspectContributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
TODO
Add user logs and progress
Add documentation & examples
Performance benchmarks and improvements
Benchmarks for extraction quality: cf https://github.com/adbar/trafilatura/blob/master/tests/comparison_small.py
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