Firecrawl MCP Server

What the Firecrawl MCP server does

How models use it and what it is built for.

Firecrawl sits between an agent and the messy reality of the web. It renders JavaScript, strips navigation and boilerplate, and returns markdown that a model can actually read rather than raw HTML that burns tokens. The MCP server exposes that pipeline as a small set of tools: scrape for a single page, map to enumerate the URLs on a domain without fetching them all, crawl for a recursive multi-page job that runs asynchronously and reports status, search to query the web and optionally scrape each result in the same call, and extract to pull structured JSON from one or more pages against a JSON schema. Batch scraping and per-request options — main-content-only, wait-for-selector, screenshot, proxy and caching controls — are passed through as tool arguments, so an agent can tune a fetch without a round trip to your code.

Tools the Firecrawl MCP server exposes

Typical tools an AI model can call. Exact names vary by version.

• firecrawl_scrape — fetch one URL and return markdown, HTML, links or a screenshot
• firecrawl_map — enumerate every URL on a domain fast, without fetching each page
• firecrawl_crawl — recursive multi-page crawl, started async and polled for status
• firecrawl_check_crawl_status — poll a running crawl job and collect its results
• firecrawl_search — web search, with optional scraping of each result in one call
• firecrawl_extract — structured JSON extraction from pages against a JSON schema

Connecting to Firecrawl

Taken from the official Firecrawl documentation — see Firecrawl MCP Server — official documentation for the full reference.

{
  "mcpServers": {
    "firecrawl": {
      "command": "npx",
      "args": ["-y", "firecrawl-mcp"],
      "env": { "FIRECRAWL_API_KEY": "fc-YOUR_KEY" }
    }
  }
}

Example prompts to try

Copy any of these into MCP Agent Studio after connecting.

• Scrape this pricing page and tell me every plan, its price and its limits.

• Map this documentation site and list the pages that mention authentication.

• Search for recent write-ups on MCP security and summarise the common findings.

• Extract company name, funding stage and location from each of these five URLs as JSON.

Models on MCP Playground

This is not a single-model product: you get the same MCP connection with 60+ models (Claude, GPT, Gemini, DeepSeek, open-weight, and more), you can switch mid-conversation, and you can open Compare mode to run the same prompt against multiple models at once. The card above is a suggested starting point for this server — not the only choice.

Check an AI agent can actually use the Firecrawl MCP server

Listing tools proves the server is reachable, not that a model can work with it. Evals go further: they read every tool on the server, write a test suite from its real schemas, and run it — code decides pass/fail on the responses (schema conformance, error codes, pagination, result caps) while a scoring model grades plain-English tasks driven through the tools.

Firecrawl MCP server — FAQ

Common questions about connecting, scoping and using it safely.