Firecrawl MCP Server 00a
F

Firecrawl MCP Server 00a

Firecrawl MCP Server is a model context protocol server integrating Firecrawl's web scraping capabilities, supporting web content crawling, searching, extraction, and batch processing, with functions such as automatic retry, rate limiting, and credit monitoring.
2 points
10.1K

What is Firecrawl MCP Server?

Firecrawl MCP Server is an implementation of the Model Context Protocol (MCP) server that integrates Firecrawl's web scraping capabilities. It allows users to scrape web content, process URLs in batches, perform web searches, and extract structured information through simple API calls.

How to use Firecrawl MCP Server?

You can install it via the command line or run it directly using npx. After configuring the API key, you can use various web scraping functions through JSON - formatted requests.

Applicable scenarios

Suitable for scenarios that require web content scraping and analysis, such as market research, competitive analysis, content aggregation, and data mining. Particularly suitable for projects that need to process a large number of web pages or require JavaScript - rendered content.

Main features

Web scraping
Supports scraping the content of a single web page, including JavaScript - rendered pages, and can extract content in Markdown format.
Batch processing
Efficiently batch - processes multiple URLs, with built - in rate limiting and parallel processing capabilities.
Web search
Performs web searches and extracts content from search results.
Intelligent extraction
Uses LLM capabilities to extract structured information from web pages.
Web crawling
Automatically discovers and crawls website links, supporting the setting of crawling depth and limits.
Advantages
Supports web scraping of JavaScript - rendered pages
Built - in automatic retry and exponential backoff mechanism
Provides detailed logs and credit usage monitoring
Supports both cloud and self - hosted deployment methods
Provides mobile/desktop view support
Limitations
Requires an API key (cloud version)
Complex web pages may require adjusting the waiting time
Large - scale scraping may require adjusting the rate limit

How to use

Installation
Install globally via npm or run directly using npx.
Configure API key
Set the Firecrawl API key environment variable.
Run the server
Start the MCP server.
Send a request
Interact with the server using JSON - formatted requests.

Usage examples

Scrape news articles
Scrape the latest article content from news websites
Batch - scrape product pages
Batch - scrape information from multiple product pages on e - commerce websites
Extract product information
Use LLM to extract structured information from product pages

Frequently Asked Questions

How to obtain a Firecrawl API key?
Which content formats are supported?
How to handle scraping failures?
Can I self - host the Firecrawl service?
How to monitor credit usage?

Related resources

Firecrawl official website
Firecrawl project homepage
MCP protocol documentation
Official documentation of the Model Context Protocol
Installation guide video
Firecrawl MCP Server installation tutorial

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mcp-server-firecrawl": {
      "command": "npx",
      "args": ["-y", "firecrawl-mcp"],
      "env": {
        "FIRECRAWL_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

{
  "mcpServers": {
    "mcp-server-firecrawl": {
      "command": "npx",
      "args": ["-y", "firecrawl-mcp"],
      "env": {
        "FIRECRAWL_API_KEY": "YOUR_API_KEY_HERE",

        "FIRECRAWL_RETRY_MAX_ATTEMPTS": "5",
        "FIRECRAWL_RETRY_INITIAL_DELAY": "2000",
        "FIRECRAWL_RETRY_MAX_DELAY": "30000",
        "FIRECRAWL_RETRY_BACKOFF_FACTOR": "3",

        "FIRECRAWL_CREDIT_WARNING_THRESHOLD": "2000",
        "FIRECRAWL_CREDIT_CRITICAL_THRESHOLD": "500"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
F
Finlab Ai
FinLab AI is a quantitative financial analysis platform that helps users discover excess returns (alpha) in investment strategies through AI technology. It provides a rich dataset, backtesting framework, and strategy examples, supporting automated installation and integration into mainstream AI programming assistants.
9.8K
4 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.0K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.2K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.4K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
69.5K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
56.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase