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firecrawl-mcp-server

Official Firecrawl MCP server, the context API for AI agents: search, scrape, and interact with the web, plus parse, crawl, map, Agent and Monitor, from any MCP client.

Install / Use

claude mcp add firecrawl -- npx -y github:firecrawl/firecrawl-mcp-server

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

88/100

Supported Platforms

Claude Code
Claude Desktop
Gemini CLI

Tags

Our assessment of firecrawl-mcp-server

firecrawl-mcp-server scores 88/100 on our quality scale, 426th of 965 AI & Machine Learning skills we index (top 45%).

Its MCP Server is 50 KB long, well organised into 55 sections with 44 code examples: long enough that it reads more like full documentation than a focused instruction file, which agents can find harder to follow.

With 7,765 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
21/30
Structure
20/20
Description
15/15
Adoption
17/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so firecrawl-mcp-server is actively maintained.
  • Our last check on 2026-10-17 found the source still online.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

firecrawl-mcp-server compared with similar skills

All 4 of these similar skills score higher than firecrawl-mcp-server; compare them before choosing.

SkillScoreStarsUpdatedFormat
firecrawl-mcp-server (this skill)by firecrawl887.8ktodayMCP Server
claude-memby thedotmack100113.5ktodayCLAUDE.md
Agent-Reachby Panniantong100109.2ktodayCLAUDE.md
Understand-Anythingby Egonex-AI10090.9k10d agoCLAUDE.md
headroomby headroomlabs-ai10078.9ktodayCLAUDE.md

Frequently asked questions

How do I install firecrawl-mcp-server?
Run claude mcp add firecrawl -- npx -y github:firecrawl/firecrawl-mcp-server. The install tabs above show the steps for each supported agent.
Which AI agents does firecrawl-mcp-server work with?
It is written for Claude Code, Claude Desktop and Gemini CLI, as a MCP Server file. Other agents that read the same format can often use it too.
Is firecrawl-mcp-server safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is firecrawl-mcp-server still maintained?
The repository was last updated today, so firecrawl-mcp-server is actively maintained.
<div align="center"> <a name="readme-top"></a> <img src="https://raw.githubusercontent.com/firecrawl/firecrawl-mcp-server/main/img/fire.png" height="140" > </div>

Firecrawl MCP Server

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!

Features

  • Search the web and get full page content
  • Search an index built for coding agents: GitHub issues, merged pull requests, READMEs, and docs
  • Scrape any URL into clean, structured data
  • Interact with pages — click, navigate, and operate
  • Deep research with autonomous agent
  • Check current and historical Firecrawl credit usage
  • Automatic retries and rate limiting
  • Cloud and self-hosted support
  • SSE support

Play around with our MCP Server on MCP.so's playground or on Klavis AI.

When to Use This Server

  • Use firecrawl_scrape when you have a known URL and want its content as markdown or as JSON matching a schema you supply.
  • Use firecrawl_map when you need to discover URLs on a site without fetching their content.
  • Use firecrawl_crawl when you need content from many pages under a site; set limit, includePaths/excludePaths, or maxDiscoveryDepth to bound it.
  • Use 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).
  • Use 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.
  • Use the firecrawl_monitor_* tools when the same page needs to be checked on a recurring schedule with diffs and change alerts, rather than fetched once.
  • Use firecrawl_credit_usage to check credits left or monthly consumption, optionally broken down by API key.
  • Consider something else when you need to hold a browser session open across many of your own steps with your own retry and termination logic: each 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).

Installation

Hosted MCP (keyless free tier)

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.

Search-only endpoint

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.

Running with npx

env FIRECRAWL_API_KEY=fc-YOUR_API_KEY npx -y firecrawl-mcp

Manual Installation

npm install -g firecrawl-mcp

Running on Cursor

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

  1. Open Cursor Settings
  2. Go to Features > MCP Servers
  3. Click "+ Add new global MCP server"
  4. Enter the following code:
    {
      "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

  1. Open Cursor Settings
  2. Go to Features > MCP Servers
  3. Click "+ Add New MCP Server"
  4. Enter the following:
    • Name: "firecrawl-mcp" (or your preferred name)
    • Type: "command"
    • Command: env FIRECRAWL_API_KEY=your-api-key npx -y firecrawl-mcp

If 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.

Running on Windsurf

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"
      }
    }
  }
}

Running with Streamable HTTP Local Mode

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

Use the url: http://localhost:3000/mcp

Installing via Smithery (Legacy)

To install Firecrawl for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @mendableai/mcp-server-firecrawl --client claude

Running on VS Code

For one-click installation, click one of the install buttons below...

Install with NPX in VS Code Install with NPX in VS Code Insiders

For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "apiKey",
        "description": "Firecrawl API Key",
        "password": true
      }
    ],
    "servers": {
      "firecrawl": {
        "command": "npx",
        "args": ["-y", "firecrawl-mcp"],
        "env": {
          "FIRECRAWL_API_KEY": "${input:apiKey}"
        }
      }
    }
  }
}

Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others:

{
  "inputs": [
    {
      "type": "promptString",
      "id": "apiKey",
      "description": "Firecrawl API Key",
      "password": true
    }
  ],
  "servers": {
    "firecrawl": {
      "command": "npx",
      "args": ["-y", "firecrawl-mcp"],
      "env": {
        "FIRECRAWL_API_KEY": "${input:apiKey}"
      }
    }
  }
}

Configuration

Environment Variables

Required for Cloud API

  • FIRECRAWL_API_KEY: Your Firecrawl API key
    • Required when using cloud API (default)
    • Optional when using self-hosted instance with FIRECRAWL_API_URL
  • FIRECRAWL_API_URL (Optional): Custom API endpoint for self-hosted instances
    • Example: https://firecrawl.your-domain.com
    • If not provided, the cloud API will be used (requires API key)

MCP OAuth (Bearer access tokens)

Hosted Firecrawl can issue OAuth access tokens (fco_…) via the authorization server on firecrawl.dev. This MCP server forwards whichever credential it resolves to the Firecrawl API as Authorization: Bearer ….

  • HTTP stream transports (CLOUD_SERVICE=true, HTTP_STREAMABLE_SERVER=true, or SSE_LOCAL=true): Clients should send Authorization: Bearer <fco_access_token> on MCP requests. An OAuth bearer token takes precedence over x-firecrawl-api-key / x-api-key when both are present.
  • stdio: Use FIRECRAWL_OAUTH_TOKEN for a static access token, or keep using FIRECRAWL_API_KEY for an API key.

Use access tokens (fco_…) only. Refresh tokens (fcr_…) must be exchanged at the token endpoint, not passed to the scrape/search API.

Search-only surface (hosted)

In hosted mode (CLOUD_SERVICE=true) a second in-process instance serves the search-only endpoint. The bundled service has a fixed deployment contract: nginx routes /v2/mcp-search to the instance on local port 3001, and the OAuth protected-resource identifier is https://mcp.firecrawl.dev/v2/mcp-search.

FIRECRAWL_MCP_SEARCH_ENABLED (default true) is the supported operational toggle; set it to `

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars7.8k
CategoryAI
Updated6h ago
Forks929

Languages

JavaScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions
firecrawl-mcp-server — MCP Server: Install & Safety Check | SkillAgent