
Fetch MCP Server
A Model Context Protocol server that provides web content fetching capabilities.
What is MCP Fetch Node?
MCP Fetch Node is a Model Context Protocol server that provides web content fetching capabilities, allowing LLMs to retrieve and process content from web pages by converting HTML to markdown.
How to use MCP Fetch Node?
To use MCP Fetch Node, run the server using Node.js or Docker, and access the SSE endpoint at /sse
on port 8080 by default.
Key features of MCP Fetch Node?
- Fetches and extracts relevant content from a URL
- Converts HTML to markdown for easier consumption
- Respects
robots.txt
(can be disabled) - User-Agent customization
- Pagination support
Use cases of MCP Fetch Node?
- Enabling LLMs to read and process web content efficiently.
- Extracting information from web pages for data analysis.
- Converting web content into markdown for documentation purposes.
FAQ from MCP Fetch Node?
- Can MCP Fetch Node fetch content from any website?
Yes, it can fetch content from any publicly accessible website, respecting the
robots.txt
rules unless overridden.
- Is MCP Fetch Node easy to set up?
Yes, it can be set up easily using Node.js or Docker with simple commands.
- What is the maximum length of content that can be fetched?
The default maximum length is 5000 characters, but it can be customized using the
max_length
argument.
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-node
Docker:
docker run -it tgambet/mcp-fetch-node
Customization - 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 inspect
Contributing
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