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Discovered · unverified

sarvcrawl

SarvCrawl turns websites and documents into a knowledge base your AI client can query. The MCP server exposes 21 tools: scrape a single page, crawl a whole site, map a site's URLs, run a web search, then search everything you ingested with BM25 keyword search or hybrid semantic search. Crawls run as background jobs. The tool descriptions tell the model to start the job, poll its status and then search the results, so an agent can do the whole crawl-then-answer loop from one prompt without glue code. Pages are converted to clean markdown. PDFs and Office files are parsed, with OCR for scanned

Source-provided description, not an independently verified capability claim.

Check the source before connecting.

Vendor ownership, pricing, documentation, and execution are not verified for this discovery record. Appearing in the official MCP registry does not mean this server is vendor-owned or tested.

Relevance and review status.

Awaiting triage. Method: not yet classified.

Task signals: web search.

Setup and documentation.

No verified installation steps or callable endpoint are supplied by this discovery record. Follow the original repository or directory entry to inspect current setup instructions, permissions, and authentication.

Source receipts.

Discovery ID: 420ed274b55bb9204627. Snapshot: 2026-10-17. Read this record as JSON · Full discovery dataset.

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