crawleo-mcp
Related Servers
Alternatives to crawleo-mcp
- MIT
- AlicenseAqualityBmaintenanceFirecrawl, the context API for AI agents, as an MCP server. Search the web, scrape any URL, parse PDFs and documents, crawl and map sites, interact with pages in a real browser, run Agent research jobs, monitor pages for changes, and search scientific papers. Returns clean Markdown or structured JSON. Run locally with npx firecrawl-mcp or connect to https://mcp.firecrawl.dev/v2/mcp28158,347 npm7,764MIT
- MIT
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- FlicenseNot gradedqualityAmaintenanceEnables AI agents to search multiple web providers in parallel and crawl single pages or entire sites into clean, deduplicated Markdown or JSON, including authenticated crawls.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents to search the web across configured providers and crawl single pages or entire sites into clean Markdown or JSON. Supports deduplication, link stripping, and authenticated crawls behind a login.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents to search the web through configured providers and crawl pages or entire sites into clean, deduplicated Markdown or JSON, including authenticated crawls.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents to search the web through configured providers and crawl pages or whole sites into clean, deduplicated Markdown or JSON, including authenticated crawls.-
- FlicenseNot gradedqualityAmaintenanceEnables language models to scrape and extract structured data from web pages, run searches, manage multi-page crawls, generate schemas, and monitor scheduled jobs through an AI-powered web scraping API.-
- AlicenseAqualityAmaintenanceEnables AI agents to perform web searches, fetch and extract page content, and crawl sites with caching, rate limiting, and robots.txt compliance, all without needing API keys.152,001 PyPI1MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: crawl_web targets a specific webpage for content extraction, while search_web performs broader web searches. There is no overlap in functionality, making it easy for an agent to choose the correct tool based on the need for focused crawling versus exploratory searching.
Both tools follow a consistent verb_noun pattern (crawl_web, search_web) with clear, descriptive names that align with their functions. The naming is uniform and predictable, using snake_case throughout without any deviations.
With only two tools, the server feels under-scoped for a web crawling and search domain. While the tools cover basic operations, the lack of additional tools (e.g., for managing crawl sessions, filtering results, or handling errors) limits functionality and may require agents to work around gaps in more complex workflows.
The tool surface is severely incomplete for a web crawling and search server. There are no tools for operations like configuring crawl parameters, managing search history, handling authentication, or processing batch requests, which are common in such domains. This will likely cause agent failures in extended or nuanced tasks.