MCP server
ContextFetch Official
dev.contextfetch/mcp
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Web search and any page as LLM-ready Markdown for AI agents. Free keyless tier, no signup.
Working at last checkVerified publisher: contextfetch.devAbout 2,820 tokens per request once connected13 tools
https://api.contextfetch.dev/mcp
At a glance
- Type
- MCP server
- Publisher
- contextfetch.dev (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 13
- Token cost
- About 2,820 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http contextfetch https://api.contextfetch.dev/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.contextfetch] url = "https://api.contextfetch.dev/mcp"
Gemini CLI
{"mcpServers":{"contextfetch":{"httpUrl":"https://api.contextfetch.dev/mcp"}}}
Cursor
{"mcpServers":{"contextfetch":{"url":"https://api.contextfetch.dev/mcp"}}}
VS Code
{"servers":{"contextfetch":{"type":"http","url":"https://api.contextfetch.dev/mcp"}}}
Antigravity
agy mcp add contextfetch https://api.contextfetch.dev/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"contextfetch","server_url":"https://api.contextfetch.dev/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"contextfetch","server_url":"https://api.contextfetch.dev/mcp"}
Tools
contextfetch_answer~186 tokens
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_auto_reload~252 tokens
Turn auto top-up on or off, or change it: when the balance drops below `threshold_usd`, the saved card adds `amount_usd`, 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_balance~86 tokens
Show the API key's balance in dollars, daily burn rate (7-day average) and auto top-up settings, including the last auto-reload error if a payment failed. Needs an API key (Authorization: Bearer); free.contextfetch_crawlBrowses the web · ~330 tokens
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 $0.001 per page returned ($1 per 1,000).contextfetch_deep_research~275 tokens
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 verbatimcontextfetch_extract_url~146 tokens
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~152 tokens
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_get_free_key~94 tokens
Get a free ContextFetch API key (no signup, no payment) with a $2.50 starter balance, 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>`.contextfetch_map~262 tokens
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 $0.001 ($1 per 1,000).contextfetch_research~325 tokens
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 (nocontextfetch_search~548 tokens
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.fetch~85 tokens
Fetch the full text of a search result by its id (a URL). Returns {id, title, text, url, metadata} as JSON.search~79 tokens
Search the web. Returns {results: [{id, title, url}]} as JSON; pass an id to `fetch` for the page text.
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