This tool leverages Firecrawl to generate concise summaries of web pages directly from their URLs. Firecrawl processes the content of the provided website, extracting key insights and metadata to deliver a brief, focused summary.
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-lgesuellip-website-firecrawl-service","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# website_firecrawl_service - MCP Server 🔍 Internet research just got smarter! Built an MCP server that turns any website into structured, relevant content based on your queries! Using @Firecrawl's powerful features (mapping, selection, scraping), combined with GPT-4o for smart URL filtering, it's like having an AI research assistant that knows exactly what you're looking for! Works seamlessly with Claude, or any MCP-compatible client!  *An agentic web scraping system powered by Firecrawl: Map → Select → Scrape → Extract* --- ## Features - **Efficient Web Crawling**: Crawls websites using the Firecrawl API with customizable link limits and intelligent URL selection - **Intelligent URL Selection**: Uses GPT-4 to select the most relevant URLs based on user queries - **Smart Content Processing**: Extracts and cleans HTML content, providing readable text output ## Setup 1. Create a `.env` file with the following required environment variables: ``` FIRECRAWL_API_KEY=your_firecrawl_api_key OPENAI_API_KEY=your_openai_api_key ``` ## Usage The server exposes a single tool: ### website_firecrawl **Description**: Crawls a website and returns relevant content based on a query. **Parameters**: - `query` (string): The search query to filter relevant content - `base_url` (string): The target website URL to crawl - `max_links` (integer, optional): Maximum number of links to process (default: 100) ## Technical Details - Built using the MCP (Model Control Protocol) server framework - Implements retry logic with exponential backoff for API calls - Integrates with LangSmith for tracing and monitoring - Implements singleton patterns for API clients to manage resources efficiently - Uses Pydantic for robust data validation and serialization: - `WebsiteCrawlArgs`: Validates input parameters for the crawling service - `CrawlerModel`: Handles URL selection and justification - `Page`: St…
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