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-serverIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AI & Machine LearningSupported Platforms
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.
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 foundOur 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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| firecrawl-mcp-server (this skill)by firecrawl | 88 | 7.8k | today | MCP Server |
| claude-memby thedotmack | 100 | 113.5k | today | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| Understand-Anythingby Egonex-AI | 100 | 90.9k | 10d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.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.
Skill content
View source on GitHubFirecrawl 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_scrapewhen you have a known URL and want its content as markdown or as JSON matching a schema you supply. - Use
firecrawl_mapwhen you need to discover URLs on a site without fetching their content. - Use
firecrawl_crawlwhen you need content from many pages under a site; setlimit,includePaths/excludePaths, ormaxDiscoveryDepthto bound it. - Use
firecrawl_searchwhen you're starting from a query rather than a URL and want ranked web results; addscrapeOptionsif you also want page content fetched in the same call (the search-only endpoint never fetches content). - Use
firecrawl_interactwhen a page needs a click, type, or navigate action before you can read it — pass aurlfor a fresh page or ascrapeIdto 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_usageto 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_interactcall runs onepromptorcodeturn to completion and returns control — the session can persist across calls viascrapeIdand ends withfirecrawl_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
- Open Cursor Settings
- Go to Features > MCP Servers
- Click "+ Add new global MCP server"
- 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
- Open Cursor Settings
- Go to Features > MCP Servers
- Click "+ Add New MCP Server"
- 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...
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)
- Example:
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, orSSE_LOCAL=true): Clients should sendAuthorization: Bearer <fco_access_token>on MCP requests. An OAuth bearer token takes precedence overx-firecrawl-api-key/x-api-keywhen both are present. - stdio: Use
FIRECRAWL_OAUTH_TOKENfor a static access token, or keep usingFIRECRAWL_API_KEYfor 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.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
