firecrawl/firecrawl-mcp-server

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本页由 AI 翻译，技术细节请以原文为准。查看原文

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Repository Install

🔥 官方 Firecrawl MCP 服务器——为 Cursor、Claude 及其他大型语言模型客户端添加了强大的网页爬取和搜索功能。

概览

一款模型上下文协议（MCP）服务器，将Firecrawl带到兼容MCP的AI代理中——搜索、抓取并与实时网络交互，获取干净、代理准备的上下文。非常感谢@vrknetha，@knacklabs的初步实现！ - 搜索网页并获取整页内容 - 将任意URL抓取为干净、结构化的数据 - 与页面交互 — 点击、导航和操作 - 使用自主代理进行深度研究 - 自动重试和速率限制 - 云和自托管支持 - 支持 SSE 你可以在MCP.so的游乐场或Klavis AI上玩玩我们的MCP服务器。无需设置即可连接到远程托管服务器：在无密钥免费层，抓取、搜索和交互无需API密钥（速率限制）即可使用。其他工具如爬取、映射、代理和提取仍然需要密钥。只要有人能注册，建议使用API密钥或OAuth。这样可以解锁完整的工具集和更高的限制。使用密钥时，请使用：请参阅MCP服务器文档和代理入职指南了解设置细节。

概述（AI 翻译）

一款模型上下文协议（MCP）服务器，将Firecrawl（AI代理上下文API）带到兼容MCP的客户端：搜索、抓取并与实时网页交互，获取干净的Markdown或结构化数据。

非常感谢@vrknetha，@knacklabs的初步实现！

特色

网页搜索，每个结果可选择包含整页内容
搜索开发者来源索引（GitHub issue、合并拉取请求、README 和文档）、美国政府来源及科学论文（PubMed、bioRxiv、medRxiv、arXiv）
将任意URL抓取成干净的Markdown或结构化JSON格式
解析PDF和文档
爬取多个页面的内容，或映射以发现其网址
在真实浏览器中与页面交互：点击、输入、填写表单并浏览动态页面
运行多源研究的代理作业，返回结构化数据
监控页面，并在内容变更时收到通知
检查当前及历史的Firecrawl信用使用情况
自动重试和速率限制
云和自托管支持
SSE 支持

在MCP.so的游乐场或Klavis AI上，使用我们的MCP服务器进行尝试。

何时使用这台服务器

本页由 AI 翻译，技术细节请以原文为准。

README

以下为原文 README 节选，完整内容请查看原文。

Firecrawl MCP Server

A Model Context Protocol (MCP) server that brings Firecrawl, the context API for AI agents, to MCP-compatible clients: search, scrape, and interact with the live web and get back clean Markdown or structured data.

Big thanks to @vrknetha, @knacklabs for the initial implementation!

Features

Search the web, optionally with full page content for each result
Search indexes for developer sources (GitHub issues, merged pull requests, READMEs, and docs), US government sources, and scientific papers (PubMed, bioRxiv, medRxiv, arXiv)
Scrape any URL into clean Markdown or structured JSON
Parse PDFs and documents
Crawl a site for content from many pages, or map it to discover its URLs
Interact with pages in a real browser: click, type, fill forms, and navigate dynamic pages
Run Agent jobs for multi-source research that returns structured data
Monitor pages and get notified when their content changes
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. Results carry excerpts; fetch full pages with firecrawl_scrape on the URLs you need. scrapeOptions fetches every result’s page in the same call and bills each as a scrape, so keep it for the full text of a few results (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 what credits were spent on, by month or day, optionally broken down by endpoint or API key.

在 GitHub 查看完整 README

安装

npx -y firecrawl-mcp

新手？先看 mcpskill.org 教程 →

配置

{
     "mcpServers": {
       "firecrawl-mcp": {
         "command": "npx",
         "args": ["-y", "firecrawl-mcp"],
         "env": {
           "FIRECRAWL_API_KEY": "YOUR-API-KEY"
         }
       }
     }
   }