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Multi Fetch MCP Server

@alexyangjie

Repository

Basic information

Category

Browser Automation

License

MIT license

Transports

stdio

Author

alexyangjie

About Multi Fetch MCP Server

Extending mcp-server-fetch with parallel browsing

Multi Fetch MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Multi Fetch MCP Server tools

3

Fetches a URL from the internet and extracts its contents as markdown.

Fetches multiple URLs concurrently and returns an array of results. Input is an array of objects, each with:

Searches the web using the Firecrawl search API and scrapes results in markdown and link formats by default.

Overview

What is Multi Fetch MCP Server?

Multi Fetch MCP Server is a fork of the Fetch MCP Server that replaces direct HTTP fetching with the Firecrawl Python SDK. It enables LLMs to fetch web content, scrape multiple URLs concurrently, and search the web, converting HTML to markdown for easier consumption.

How to use Multi Fetch MCP Server?

Install via pip install mcp-server-multi-fetch firecrawl-py and set the FIRECRAWL_API_KEY environment variable. Then configure Claude.app (or any MCP client) using uvx mcp-server-multi-fetch. Use the fetch, fetch_multi, and search tools to retrieve and process web content.

Key features of Multi Fetch MCP Server

  • Based on the Fetch MCP Server, uses the Firecrawl SDK
  • Fetch single or multiple URLs concurrently
  • Web search via the Firecrawl search API
  • Content truncation with start_index for chunked reading
  • Customizable user-agent, proxy, and robots.txt behavior
  • Prompts for fetch and search operations

Use cases of Multi Fetch MCP Server

  • Reading large web pages in chunks to find specific information
  • Concurrently fetching multiple sources for research or comparison
  • Searching the web and scraping results into markdown
  • Integrating web content into AI‑powered workflows

Frequently asked questions

1

What is the difference from the original Fetch MCP Server?

This fork replaces direct HTTP fetching with the Firecrawl Python SDK, requiring a Firecrawl API key (`FIRECRAWL_API_KEY`) instead of using plain HTTP requests.

2

What dependencies are required?

Requires Python with the `mcp-server-multi-fetch` and `firecrawl-py` packages. Optionally, Node.js can be installed for a more robust HTML simplification step.

3

How do I set up the Firecrawl API key?

Set the `FIRECRAWL_API_KEY` environment variable to your Firecrawl API key. Optionally, override the API endpoint with `FIRECRAWL_API_URL`.

4

Can I configure a proxy?

Yes, use the `--proxy-url` argument with HTTP, HTTPS, or SOCKS5 proxy URLs (e.g., `--proxy-url http://192.168.1.1:8080`).

5

How does robots.txt handling work?

By default, the server obeys a website’s robots.txt for model‑initiated requests (tools) but not for user‑initiated requests (prompts). This can be disabled with the `--ignore-robots-txt` flag.

Comments

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