MCP Servers · firecrawl

firecrawl-mcp-server

Firecrawl MCP Server is an official Model Context Protocol bridge that enables AI agents (Claude, Cursor, etc.) to search and scrape web content in real-time. It provides access to Firecrawl's web scraping, search, and page interaction capabilities through a standardized MCP interface, with optional cloud hosting or self-hosted deployment.

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Source: GitHub — github.com/firecrawl/firecrawl-mcp-server

6.9k

GitHub stars

799

Forks

JavaScript

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	firecrawl/firecrawl-mcp-server
Owner	firecrawl
Primary language	JavaScript
License	MIT — OSI-approved
Stars	6.9k
Forks	799
Open issues	125
Latest release	v3.2.1 (2025-09-26)
Last updated	2026-07-06
Source	https://github.com/firecrawl/firecrawl-mcp-server

What firecrawl-mcp-server is

MCP server (Node.js/JavaScript) wrapping Firecrawl's REST API, exposing tools for web scraping, search indexing, autonomous agent research, and page interaction (click, navigate). Supports stdio, HTTP streamable, and SSE transports; integrates with Claude Desktop, Cursor, VS Code, and Windsurf via environment-configured API credentials or OAuth bearer tokens.

Quickstart

Get the firecrawl-mcp-server source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/firecrawl/firecrawl-mcp-server.git2cd firecrawl-mcp-server3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Real-time Web Search and Content Extraction in AI Workflows

Use search and scrape tools to fetch live web content for Claude/Cursor agents that need current information (news, pricing, documentation). Ideal for research tasks, competitive analysis, and fact-checking where agents must reference up-to-date sources.

Autonomous Agent Research and Deep Crawling

Deploy the agent tool for multi-step research across unknown URLs, or use map to discover site structure before targeted scrapes. Suits complex discovery tasks, market research, and data collection pipelines where humans define a goal and the agent explores autonomously.

Integration with LLM-Based Development Tools

Seamless MCP integration with Cursor, Claude Desktop, and VS Code allows developers and agents to request web context during coding, documentation lookups, or debugging without leaving their editor. Low friction for ad-hoc web research in IDE-native workflows.

Implementation considerations

API key management: Store FIRECRAWL_API_KEY or FIRECRAWL_OAUTH_TOKEN securely (environment variables, secrets manager). Keyless free tier available but rate-limited; preferred to request users provide their own key for production use.
Transport selection: stdio is default (simple); HTTP streamable (HTTP_STREAMABLE_SERVER=true) for local server mode; SSE for streaming use cases. Choice depends on your MCP client and deployment topology (local dev vs. hosted agent).
Rate limiting and retries: Server includes automatic retry logic; monitor usage against Firecrawl's rate limits (varies by tier). For high-concurrency agent workflows, consider Firecrawl Pro tier or implement client-side throttling.
Self-hosted fallback: FIRECRAWL_API_URL allows redirection to self-hosted Firecrawl instance (requires separate Firecrawl server deployment). Plan this if cloud vendor dependency or data residency is a concern.
Agent autonomy scope: Tools like agent and map are powerful but can incur cost or cause unintended scrapes. Define clear instructions and tool selection rules for agents to avoid unexpected API usage or false positives.

When to avoid it — and what to weigh

Sensitive or Private Data Scraping — Firecrawl sends content through cloud infrastructure (unless self-hosted). Do not use for scraping confidential, PII-laden, or regulated data (healthcare, financial records, proprietary code) unless you run a self-hosted instance with appropriate data handling controls.
High-Volume, Cost-Sensitive Batch Operations — The MCP server is optimized for agent-driven, on-demand requests. If you need bulk scraping of thousands of URLs with minimal cost, the standalone Firecrawl API batch endpoint or competing bulk scrapers (Bright Data, Apify) may be more cost-effective. Check Firecrawl's pricing model.
Strict Rate-Limited or Bot-Blocking Targets — Firecrawl uses shared IP pools on cloud (requests may be rate-limited or blocked by sites with aggressive anti-bot measures). Self-hosted instances mitigate this but require infrastructure investment. Do not rely for mission-critical data if target sites actively block scrapers.
Offline or Air-Gapped Environments — Cloud API requires outbound HTTPS connectivity. Self-hosted is possible but requires external Firecrawl deployment. Not suitable for fully offline agents or restricted network contexts without significant engineering.

License & commercial use

MIT License. Permissive open-source license allowing commercial use, modification, and distribution with minimal restrictions (retain license and copyright notice). No warranty provided. Safe for proprietary and commercial applications.

MIT license explicitly permits commercial use without royalties or proprietary restrictions. However, commercial viability depends on Firecrawl API terms: verify Firecrawl's separate SLA, pricing, and data use policies. This MCP server itself can be deployed and redistributed freely, but it is a wrapper around Firecrawl's API service (separate agreement required). Requires review of Firecrawl's commercial terms if bundling or reselling as part of a commercial product.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Strong
Assessment confidence	High

Security considerations

Cloud-based processing: user-supplied URLs and scraped content transit Firecrawl's infrastructure; not suitable for sensitive/PII data. API key exposure risk: use environment variables and secrets management, not hardcoded. Agent autonomy: unconstrained agents may scrape unintended targets; implement tool whitelisting or user approval. Self-hosted option mitigates cloud data residency concern. No security audit information provided; cannot assess Firecrawl's own vulnerability posture from this data.

Alternatives to consider

Bright Data Web Scraper API + Custom MCP Wrapper

Alternative if you need enterprise-scale IP rotation, residential proxies, or strict SLA. Requires custom MCP server implementation; higher cost but better for large-scale, bot-resistant scraping. Less integrated with LLM workflows than Firecrawl.

Apify MCP Server (or direct Apify API)

Apify provides actor-based scraping and can be wrapped in MCP. Strong for browser automation and JS-heavy sites; mature platform. May be more expensive per-request for simple scrapes; learning curve for actor development vs. Firecrawl's simpler REST API.

Native web-scraping libraries (Puppeteer, Playwright) + Custom MCP Server

Full control, no vendor dependency, free. Suitable if scraping targets are known and relatively simple. Requires significant custom MCP/orchestration code; not ideal for ad-hoc or agent-driven discovery. More operational overhead (browser resource management, error handling).

Software development agency

Build on firecrawl-mcp-server with DEV.co software developers

Start with Firecrawl MCP Server's free keyless tier in Cursor or Claude Desktop. Sign up for an API key at firecrawl.dev to unlock full capabilities. For secure, data-residency-critical use cases, we can help architect a self-hosted Firecrawl deployment.

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Related open-source tools

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apify-mcp-server anysearch-mcp-server firecrawl

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firecrawl-mcp-server FAQ

Do I need an API key to use Firecrawl MCP Server?

No for basic tools (scrape, search, interact): cloud-hosted server offers keyless free tier with rate limiting. However, advanced tools (crawl, map, agent, extract) and higher limits require an API key. Recommended to provide one for production use.

Can I run Firecrawl MCP Server fully offline?

No if using cloud API (requires internet). Yes if you deploy a self-hosted Firecrawl instance and configure FIRECRAWL_API_URL. Self-hosting requires external infrastructure (Docker, server, etc.).

What is the difference between the scrape and agent tools?

scrape targets one URL directly and returns structured data. agent autonomously explores multiple URLs to answer a research question. Use scrape for known URLs; use agent for open-ended discovery or complex multi-step research.

How do I ensure my API key is secure?

Store FIRECRAWL_API_KEY in environment variables, secrets management (e.g., 1Password, HashiCorp Vault), or system keychains. Never hardcode or commit to version control. Rotate keys periodically and use minimal-scope OAuth tokens (fco_…) where available.

Work with a software development agency

Adopting firecrawl-mcp-server is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate mcp servers software in production.

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