ContextFetch
by FastDrop
Web search and any page as LLM-ready Markdown for AI agents. Free keyless tier, no signup.
Web search and any page as LLM-ready Markdown for AI agents. Free keyless tier, no signup. Official MCP Registry: dev.contextfetch/mcp@1.0.1. Remote endpoint: https://api.contextfetch.dev/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as dev.contextfetch/mcp and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.
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Read directly from the endpoint on 19 Oct 2026. Not supplied by the maker.
contextfetch_searchSearch the web and get LLM-ready Markdown. Each result has its title, URL and only the passages relevant to the query (cross-encoder pruned context), so it costs far fewer tokens than raw pages. Use f
contextfetch_extract_urlFetch a public web page (docs, articles, GitHub files, arXiv papers) as clean Markdown with tables preserved. Pass `query` to get only the passages relevant to it instead of the whole page.
contextfetch_find_similarFind pages similar to a given URL (alternatives, related docs, competing libraries), excluding the source domain. Returns titles, URLs and the most relevant passages as Markdown.
contextfetch_researchResearch a question in one call, server-side: runs up to 5 web searches (sub-queries) concurrently, dedupes the pages by URL, ranks them all against the question with a cross-encoder and returns one M
contextfetch_deep_researchSame as contextfetch_research (kept for existing clients): up to 3 sub-queries run server-side, sources deduped and ranked against the question, one Markdown evidence pack with numbered sources and qu
contextfetch_answerAnswer a question with passages quoted verbatim from the web, never generated: searches, scores every passage of the top pages with a cross-encoder and returns the best ones with [n] citations to thei
contextfetch_crawlCrawl one website from a start URL and get its pages as Markdown: same-site links only, up to `max_depth` hops (<= 3) and `limit` pages (<= 50). Pass `query` to rank the pages by relevance and return
contextfetch_mapList a website's URLs without fetching its pages: its sitemaps (from robots.txt, else /sitemap.xml) plus the start page's links, same site only, up to `limit` (<= 5,000). Use it to find the right page
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