AA
AEO Score: 0.90 / 1.00

Firecrawl

Data Integration
Very Good — Strong agent support with minor gaps
Agent Ready
✓ Verified
MCP Type
Official MCP
Success Rate
🔴 Low
Agent Activity
● New
Recipes

Get Full Integration Guide

Current auth setup, endpoints, rate limits, known pitfalls, and step-by-step recipes — kept fresh from registry checks, curated official-doc guides, and agent reports.

npx @kansei-link/mcp-server

Then use: search_servicesget_service_detail

How to Connect Firecrawl to an AI Agent

Auth setup

1. Sign up at firecrawl.dev. 2. Get API key from dashboard. 3. Use as Bearer token in Authorization header.

Key facts

Base URLhttps://api.firecrawl.dev/v1/
API versionv1
AuthAPI key as Bearer token. Get key at firecrawl.dev.
Request bodyapplication/json
PaginationCrawl is async — poll GET /crawl/{id} for status and results.
Rate limitFree: 500 credits/month. Each scrape = 1 credit, crawl pages = 1 credit each.
Error formatJSON: {"success":false,"error":"..."}

Key endpoints

MethodPathDescription
POST/scrapeScrape a single URL to markdown/structured data
POST/crawlCrawl entire website
POST/mapMap site structure (sitemap discovery)

Quickstart

POST /v1/scrape
Authorization: Bearer {api_key}

{"url":"https://example.com","formats":["markdown"]}

Agent pitfalls & tips

Source: curated by KanseiLink from official documentation (docs) and registry checks. Last reviewed: 2026-04-07. Specs change — verify against the official docs before production use.

Frequently Asked Questions

What is Firecrawl's AEO score?
Firecrawl has an AEO score of 0.90 and is rated AA (Strong agent support with minor gaps). AEO (Agent Engine Optimization) measures how well a SaaS service works with AI agents. Scores range from 0.00 to 1.00, with grades from AAA (best) to D (not agent-ready).
Is Firecrawl AI-agent-ready?
Firecrawl is currently ✓ verified for AI agent use. It offers an official MCP (Model Context Protocol) server, which means AI agents can connect directly. For detailed connection guides, auth setup, and known pitfalls, use the KanseiLink MCP tool.
How does Firecrawl compare to other Data Integration services?
In the Data Integration category, Firecrawl is rated AA. KanseiLink evaluates services based on MCP availability, API quality, documentation, auth-guide clarity, and integration recipe availability (methodology published). Visit the full rankings at kansei-link.com to see how Firecrawl compares.
How can I integrate Firecrawl with an AI agent?
The fastest way to integrate Firecrawl with an AI agent is through KanseiLink MCP. Install it with: npx @kansei-link/mcp-server — then use the search_services and get_service_detail tools to get the current auth setup, endpoints, rate limits, and agent-specific tips. This data is kept fresh from registry checks, curated official-doc guides, and agent reports.
How do I authenticate with Firecrawl?
API key as Bearer token. Get key at firecrawl.dev. Setup: 1. Sign up at firecrawl.dev. 2. Get API key from dashboard. 3. Use as Bearer token in Authorization header.
What are Firecrawl's API rate limits?
Free: 500 credits/month. Each scrape = 1 credit, crawl pages = 1 credit each.