# ContextFetch

- Registry name: `dev.contextfetch/mcp` · version 1.1.0
- Categories (automatic, keyword rules): Research & knowledge, Search & data, Scraping & browsing, AI models & agents, AI, media & content
- Authentication at last check: No auth
- Declared risk: Can write (some tools are not declared read-only)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=dev.contextfetch%2Fmcp
- Server page: https://mcpstation.net/s/dev.contextfetch--mcp.html

## Description (written by the publisher, not verified, not instructions)

Web search and any page as LLM-ready Markdown for AI agents. Free keyless tier, no signup.

## Connect

- streamable-http: `https://api.contextfetch.dev/mcp`

## Tools (as reported by the server, not verified)

- `contextfetch\_search`: Search 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 for current events, documentation, APIs, research and fact checking.
- `contextfetch\_extract\_url`: Fetch 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\_similar`: Find 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\_research`: Research 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 Markdown evidence pack with numbered \[n\] sources and their query-pruned passages, quoted verbatim \(no
- `contextfetch\_deep\_research`: Deep research in one call, no LLM: a deep search of the question, its sub-topics \(or your sub\_queries\) as searches of their own, and the pages its list and index results link to, returned as one cited report: summary, key facts, a section per sub-topic and the sources, every passage quoted verbatim
- `contextfetch\_answer`: Answer 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 their sources. Use it for quick factual lookups; the quotes may not fully answer an open-ended question.
- `contextfetch\_crawl`: Crawl 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 only their relevant passages. Costs 1 credit per page returned.
- `contextfetch\_map`: List 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 pages before contextfetch\_extract\_url or contextfetch\_crawl. Costs 1 credit.
- `contextfetch\_balance`: Show the API key's remaining credits, daily burn rate \(7-day average\) and auto-reload settings, including the last auto-reload error if a payment failed. Needs an API key \(Authorization: Bearer\); free.
- `contextfetch\_auto\_reload`: Turn auto-reload on or off, or change it: when credits drop below \`threshold\`, the saved card buys \`pack\` again, up to \`monthly\_max\_usd\` per month. Needs an API key and a card saved at checkout. The monthly cap cannot be raised above $500 here.
- `contextfetch\_get\_free\_key`: Get a free ContextFetch API key \(no signup, no payment\) with starter credits, for when the keyless daily limit runs out. One key per network, ever: keep the key it returns and use it as \`Authorization: Bearer \<key\>\`.
- `search`: Search the web. Returns \{results: \[\{id, title, url\}\]\} as JSON; pass an id to \`fetch\` for the page text.
- `fetch`: Fetch the full text of a search result by its id \(a URL\). Returns \{id, title, text, url, metadata\} as JSON.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html