
MCP server providing web scraping, crawling, and search capabilities for AI agents. Supports structured data extraction, interactive browsing, and deep research via a unified API.
A Model Context Protocol (MCP) server that brings Firecrawl to MCP-compatible AI agents — search, scrape, and interact with the live web for clean, agent-ready context.
Big thanks to @vrknetha, @knacklabs for the initial implementation!
Play around with our MCP Server on MCP.so's playground or on Klavis AI.
firecrawl_scrape when you have a known URL and want its content as markdown or as JSON matching a schema you supply.firecrawl_map when you need to discover URLs on a site without fetching their content.firecrawl_crawl when you need content from many pages under a site; set limit, includePaths/excludePaths, or maxDiscoveryDepth to bound it.firecrawl_search when you're starting from a query rather than a URL and want ranked web results; add scrapeOptions if you also want page content fetched in the same call (the search-only endpoint never fetches content).firecrawl_interact when a page needs a click, type, or navigate action before you can read it — pass a url for a fresh page or a scrapeId to continue on one you already scraped.firecrawl_monitor_* tools when the same page needs to be checked on a recurring schedule with diffs and change alerts, rather than fetched once.firecrawl_credit_usage to check credits left or monthly consumption, optionally broken down by API key.firecrawl_interact call runs one prompt or code turn to completion and returns control — the session can persist across calls via scrapeId and ends with firecrawl_interact_stop, but you cannot drive it interactively step-by-step from the client side within a single call.This server lists 26 tools when the full profile registers with default settings (feedback tools included, not running in local-keyless mode). Setting FIRECRAWL_NO_SEARCH_FEEDBACK=1 and/or FIRECRAWL_NO_ENDPOINT_FEEDBACK=1 removes the corresponding feedback tools and reduces this count, as does local keyless startup. For clients with a tool-slot limit: the hosted keyless endpoint (https://mcp.firecrawl.dev/v2/mcp, no API key) exposes only 3 — firecrawl_scrape, firecrawl_search, firecrawl_parse — and the dedicated search-only endpoint (https://mcp.firecrawl.dev/v2/mcp-search) exposes a fixed set of 8 tools (search, developer and research search, plus Alexandria catalogue lookup and execution).
Connect to the remote hosted server with no setup:
https://mcp.firecrawl.dev/v2/mcp
On the keyless free tier, scrape, search, and parse work without an API key (rate-limited). Other tools such as crawl, map, and agent still need a key.
Prefer OAuth or an API key whenever the human can sign up. It unlocks the full tool set and higher limits.
For an interactive account connection, configure your MCP client to use this server URL. This is an MCP endpoint, not a browser page; use the client's account-connection flow and do not add a second Firecrawl server entry when reconnecting:
https://mcp.firecrawl.dev/v2/mcp-oauth
For an API-key connection (for example, an unattended integration), keep the server URL as:
https://mcp.firecrawl.dev/v2/mcp
Then configure the client's secure header or secret setting with:
Authorization: Bearer <FIRECRAWL_API_KEY>
Never put an API key in the server URL. Never put an API key in an agent chat. Configure it directly in the client or secret manager. See the hosted MCP setup guide and the agent onboarding guide for client-specific instructions.
A fixed-scope search surface is also hosted at:
https://mcp.firecrawl.dev/v2/mcp-search
It exposes a fixed set of eight tools: firecrawl_search, firecrawl_developer_search, the four firecrawl_research_* tools, and the two Alexandria tools firecrawl_find_tools and firecrawl_scrape. Its firecrawl_search fetches no page content, and the surface has its own OAuth identity; the full endpoint above is unchanged. It backs a published connector listing, so its tool set is a contract rather than a profile to tune. See docs/search-profile.md for the full contract and what a change to it involves.
For packaged MCP workflows in ChatGPT, Codex, or Claude Code, see MCP plugin packages.
env FIRECRAWL_API_KEY=fc-YOUR_API_KEY npx -y firecrawl-mcp
npm install -g firecrawl-mcp
Configuring Cursor 🖥️ Note: Requires Cursor version 0.45.6+ For the most up-to-date configuration instructions, please refer to the official Cursor documentation on configuring MCP servers: Cursor MCP Server Configuration Guide
To configure Firecrawl MCP in Cursor v0.48.6
{
"mcpServers": {
"firecrawl-mcp": {
"command": "npx",
"args": ["-y", "firecrawl-mcp"],
"env": {
"FIRECRAWL_API_KEY": "YOUR-API-KEY"
}
}
}
}
To configure Firecrawl MCP in Cursor v0.45.6
env FIRECRAWL_API_KEY=your-api-key npx -y firecrawl-mcpIf you are using Windows and are running into issues, try
cmd /c "set FIRECRAWL_API_KEY=your-api-key && npx -y firecrawl-mcp"
Replace your-api-key with your Firecrawl API key. If you don't have one yet, you can create an account and get it from https://www.firecrawl.dev/app/api-keys
After adding, refresh the MCP server list to see the new tools. The Composer Agent will automatically use Firecrawl MCP when appropriate, but you can explicitly request it by describing your web scraping needs. Access the Composer via Command+L (Mac), select "Agent" next to the submit button, and enter your query.
Add this to your ./codeium/windsurf/model_config.json:
{
"mcpServers": {
"mcp-server-firecrawl": {
"command": "npx",
"args": ["-y", "firecrawl-mcp"],
"env": {
"FIRECRAWL_API_KEY": "YOUR_API_KEY"
}
}
}
}
To run the server using Streamable HTTP locally instead of the default stdio transport:
env HTTP_STREAMABLE_SERVER=true FIRECRAWL_API_KEY=fc-YOUR_API_KEY npx -y firecrawl-mcp