NewOpen Source
OpenSEO
★ 6.2kOpen-source SEO platform for humans and AI agents
Active repoRelease v0.1.1
MCPNew
Firecrawl MCP
Search, crawl and extract clean web data from AI agents
PricingOpen Source
CategoryMCP
Latest releasev3.2.1
Listing status● Verified
Overview
What is Firecrawl MCP?
The official Firecrawl MCP server adds live search, scraping, crawling, mapping and structured extraction tools to MCP-compatible agents with cloud and self-hosted options. Its documented capabilities include Web search, Page scraping and Site crawling.
Firecrawl MCP is designed to make SEO capabilities available inside an agent workflow. Instead of moving data manually between a browser, reports and an AI client, teams can expose supported operations through a structured integration.
Best forTechnical SEO teams and builders connecting AI agents to live search data or actions.
Primary workflowAgent-to-data integration
Delivery modelMCP integration for supported AI clients
Pricing modelOpen Source
Product preview
Capabilities
What it helps you do
01
Web search
Use web search during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
02
Page scraping
Treat page scraping as part of the integration layer. Confirm authentication, permissions, rate limits and deployment requirements against the current official documentation.
03
Site crawling
Use site crawling to turn site-level data into specific findings that can be reviewed, prioritized and handed to the person responsible for implementation.
04
Structured extraction
Structured extraction is one of Firecrawl MCP’s documented core capabilities. Its exact scope can vary by plan, deployment and integration, so validate it against the current product documentation.
Workflow
How Firecrawl MCP fits into the work
01
Web search
Use web search during discovery, when the team gathers evidence before deciding which opportunities, queries or competitors deserve deeper work.
02
Page scraping
Treat page scraping as part of the integration layer. Confirm authentication, permissions, rate limits and deployment requirements against the current official documentation.
03
Site crawling
Use site crawling to turn site-level data into specific findings that can be reviewed, prioritized and handed to the person responsible for implementation.
Decision guide
What to know before choosing
A good fit when
- ✓You need support for MCP and Web Crawling in a defined workflow.
- ✓You want inspectable source code and are comfortable owning setup, hosting or maintenance.
- ✓Your stack already includes or can work with Claude Code, Cursor, Codex, VS Code.
Verify before adopting
- →Confirm which capabilities are included in the current open source offering and whether usage limits apply.
- →Review authentication, permissions, supported clients and the data each exposed tool can access.
- →Validate the depth and scale of structured extraction for your team.
Categories
Keep exploring
