Skip to main content

A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs

Project description

Multi Fetch MCP Server

This project is based on the Fetch MCP Server by Anthropic

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 fetch
    • max_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)
  • fetch_multi - Fetches multiple URLs concurrently and returns an array of results. Input is an array of objects, each with:
    • url (string, required): URL to fetch
    • max_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)

Prompts

  • fetch
    • Fetch a URL and extract its contents as markdown
    • Arguments:
      • url (string, required): URL to fetch

Installation

Optionally: Install node.js, this will cause the fetch server to use a different HTML simplifier that is more robust.

Using uv (recommended)

When using uv no specific installation is needed. We will use uvx to directly run mcp-server-multi-fetch.

Configuration

Configure for Claude.app

Add to your Claude settings:

Using uvx
"mcpServers": {
  "fetch": {
    "command": "uvx",
    "args": ["mcp-server-multi-fetch"]
  }
}

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 args list in the configuration.

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

ModelContextProtocol/1.0 (Autonomous; +https://github.com/modelcontextprotocol/servers)

or

ModelContextProtocol/1.0 (User-Specified; +https://github.com/modelcontextprotocol/servers)

This can be customized by adding the argument --user-agent=YourUserAgent to the args list in the configuration.

Customization - Proxy

The server can be configured to use a proxy by using the --proxy-url argument.

Debugging

You can use the MCP inspector to debug the server. For uvx installations:

npx @modelcontextprotocol/inspector uvx mcp-server-multi-fetch

Or if you've installed the package in a specific directory or are developing on it:

cd path/to/servers/src/fetch
npx @modelcontextprotocol/inspector uv run mcp-server-multi-fetch

License

mcp-server-multi-fetch is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_server_multi_fetch-0.1.0.tar.gz (45.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_server_multi_fetch-0.1.0-py3-none-any.whl (8.6 kB view details)

Uploaded Python 3

File details

Details for the file mcp_server_multi_fetch-0.1.0.tar.gz.

File metadata

File hashes

Hashes for mcp_server_multi_fetch-0.1.0.tar.gz
Algorithm Hash digest
SHA256 4e2d8b87748e3459cb8619ae0eb885ba6eabdb81c53dfb949ed08b1a0a853936
MD5 01b302366fc9f7eb34aae12332d4802b
BLAKE2b-256 ad5af3d1217e0f2ad2f3991b648581ec0fb6ba71d0ff63d93c7ea188f9ebe252

See more details on using hashes here.

File details

Details for the file mcp_server_multi_fetch-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_server_multi_fetch-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 3bfa15c478b94febff635d62fedaae0ebd6e21bb6a388d349a31e8502afc82eb
MD5 cf321f94433304a1640a83815bd3f22a
BLAKE2b-256 4db514defaa0c3251e5e3811e54e25c3bb4a852ccf6d40b674fd5cd0b6aa1d22

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page