A Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities.
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Highlight AIScrape content from a single URL with advanced options. Commonly used for single page content extraction.
Map a website to discover all indexed URLs on the site. Best for discovering URLs before deciding what to scrape.
Search the web and extract content from search results. Useful for finding specific information across multiple websites.
Sends structured feedback on a previous firecrawl_search result to improve search quality.
Sends structured feedback for a completed endpoint job through /v2/feedback.
Starts a crawl job to extract content from multiple related pages. Best for comprehensive coverage.
Check the status and results of an existing crawl job by ID.
Parse local files or hosted upload references for documents needing markdown or structured JSON output.
Autonomous web research agent that browses the internet, searches for information, and extracts structured data based on your query.
Check the status of an agent job and retrieve results when complete.
Interact with a fresh URL or an already scraped page for actions like clicking, typing, and navigating.
Stop an interact session for a scraped page when done interacting.
Create and manage recurring page monitors to track changes on specified pages.
Search an index built for coding agents covering GitHub issues, pull requests, and documentation.
