AgentMatter
EN/中文
SubmitGitHub
MCP Servers · Publisher repository

Firecrawl MCP Server

Provides web scraping, search, content extraction, and batch processing tools to MCP clients.

7.2k StarsMITJavaScriptUpdated 3 days ago
Install and use GitHub
01

Project overview

Provides web scraping, search, content extraction, and batch processing tools to MCP clients. Its core areas include Web scraping, Search, Content extraction, Batch processing. Start with the repository documentation and the smallest practical scope before adopting it broadly.

02

Core capabilities

01

Web scraping

Exposes Web scraping to compatible clients through MCP tools.

02

Search

Exposes Search to compatible clients through MCP tools.

03

Content extraction

Exposes Content extraction to compatible clients through MCP tools.

04

Batch processing

Exposes Batch processing to compatible clients through MCP tools.

03

Setup and connection

This usage path is based on the current public documentation for Firecrawl MCP Server. Complete the steps in order before using it from your agent.

AI AGENT INSTALL

Let an AI Agent install it

Send this prompt to Codex, Claude Code, or another AI agent that can work with your local environment.

Help me install this MCP: Firecrawl MCP Server
Project URL: https://github.com/firecrawl/firecrawl-mcp-server

Read the README and installation files first, confirm the current environment and target directory, then follow the project's documented installation method. Run a minimal verification task afterward and report the install location, steps, and result. Ask before requesting credentials, additional permissions, overwriting files, or performing risky actions.
01Before you start
  • Prepare a compatible agent or runtime
  • Confirm access to the local files or services required by the project
02Copy the install command or configuration
Project URL: https://github.com/firecrawl/firecrawl-mcp-server#hosted-mcp-keyless-free-tier
Copy the URL and follow the steps below to complete setup.
03Complete the setup steps
  1. 1
    Apply the configuration

    Use the command or configuration above to add the resource to the current agent environment.

  2. 2
    Complete required setup

    Complete path, permission, or connection settings for the current runtime.

  3. 3
    Run a minimal task

    Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.

How to verify the setup

Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.

04

Use cases

SCENARIO 01

You need to connect an AI agent to tools, browsers, code, or data through MCP

SCENARIO 02

Your current task needs Web scraping or Search

05

Assessment

Why it may be useful

  • You need to connect an AI agent to tools, browsers, code, or data through MCP
  • Your current task needs Web scraping or Search

What to know first

  • Your agent does not support MCP or you cannot provide the required environment
  • You want to use it in production without reading the repository documentation or reviewing permissions
06

README

Firecrawl MCP Server

Overview

Provides web scraping, search, content extraction, and batch processing tools to MCP clients. Official Firecrawl MCP Server for web scraping and search in LLM clients.

Getting started

  • This usage path is based on the current public documentation for Firecrawl MCP Server. Complete the steps in order before using it from your agent.
  • Project focus: Provides web scraping, search, content extraction, and batch processing tools to MCP clients.
  • Published characteristics: Hosted and local, Optional API-key path, Self-hostable.
  • Run a minimal task in the agent. If the resource is recognized and returns the documented type of result, the setup is active.

Configuration

Project URL: https://github.com/firecrawl/firecrawl-mcp-server#hosted-mcp-keyless-free-tier
Copy the URL and follow the steps below to complete setup.
Read the complete README on GitHub →