MCP.Market

ContextFetch MCP server

online · 96% uptime
by contextfetch.dev·dev.contextfetch/mcp·v1.1.0
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Web search and any page as LLM-ready Markdown for AI agents. Free keyless tier, no signup.

A91/100grade A
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Safety scan
A91/100

full report

Adoption
Growing

0 stars540 downloads/wk

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ContextFetch tools (13)

write = sends, deletes, buys or posts
  • contextfetch_answerFree

    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. Costs 1 credit.

  • contextfetch_auto_reloadFree

    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_balanceFree

    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_crawlFree

    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_deep_researchFree

    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 with [n]. Costs 1 credit. For a quick evidence pack use contextfetch_research.

  • contextfetch_extract_urlFree

    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_similarFree

    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_keyFree

    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>`.

  • contextfetch_mapFree

    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_researchFree

    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 generated text). Costs 1 credit. Pass your own `sub_queries` (distinct angles on the question) for better coverage; if omitted they are derived from `query`: the query, query + "documentation", and query + "benchmark" (speed or comparison questions) or + "example".

  • contextfetch_searchFree

    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.

  • fetchFree

    Fetch the full text of a search result by its id (a URL). Returns {id, title, text, url, metadata} as JSON.

  • searchFree

    Search the web. Returns {results: [{id, title, url}]} as JSON; pass an id to `fetch` for the page text.

Public scan report

scanner v0.1.10 · 2026-10-25 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 source files scanned25/25
  • Live reliabilityremote reachable in 1920ms20/20
  • Tool poisoning13 tool descriptions checked15/15
  • Auth qualityAPI key sent as a header8/15
  • Maintenancelast push 3 days ago15/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How ContextFetch compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
91/100
higher than 88% of 4,460 AI and agents servers
Tools
13
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
96%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
1,112 ms
faster than 7% of 2,331 AI and agents servers
Downloads a week
540
more than 87% of 1,538 AI and agents servers with a package

What its tools let an agent do: 13 read

Install ContextFetch in Claude Code, Cursor or VS Code

claude mcp add --transport http mcp https://api.contextfetch.dev/mcp
Add to Cursor

What the publisher says

From the ContextFetch repository's README, as published. We do not edit it. Read it on GitHub

@contextfetch/mcp

MCP server for ContextFetch: neural web search and clean, LLM-ready Markdown for AI agents from $0.75 per 1,000 searches. Works with zero signup: no key needed for the free tier.

Install

Claude Code (one line, keyless):

claude mcp add contextfetch -- npx -y @contextfetch/mcp

With a paid key:

claude mcp add contextfetch -e CONTEXTFETCH_API_KEY=your_key -- npx -y @contextfetch/mcp

Cursor: add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):

{
  "mcpServers": {
    "contextfetch": {
      "command": "npx",
      "args": ["-y", "@contextfetch/mcp"],
      "env": { "CONTEXTFETCH_API_KEY": "your_key" }
    }
  }
}

Windsurf: add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "contextfetch": {
      "command": "npx",
      "args": ["-y", "@contextfetch/mcp"],
      "env": { "CONTEXTFETCH_API_KEY": "your_key" }
    }
  }
}

To use the free tier, drop the env block (or leave CONTEXTFETCHAPIKEY empty). The same JSON works in Claude Desktop's claudedesktopconfig.json and in any other MCP client that launches stdio servers.

Requires Node.js 18 or newer.

Tools

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

ContextFetch: common questions

Is ContextFetch MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the ContextFetch safety report
How do I install ContextFetch?
It runs remotely at api.contextfetch.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does ContextFetch need an API key?
Yes. The registry entry asks for CONTEXTFETCH_API_KEY, x-api-key.
Is ContextFetch maintained?
The last commit was 13 days ago (2026-10-22). The latest release is v1.1.0.
Is ContextFetch up?
96% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of ContextFetch?
Servers from other publishers that do the same job: Robin: AI-Powered Dark Web OSINT MCP server, Charlotte MCP server and agent-device MCP server.
How does ContextFetch compare with other AI and agents MCP servers?
safety score 91/100 (higher than 88% of 4,460 AI and agents servers); tools 13 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to ContextFetch

Same job from other publishers: the closest match first, then the best rated.

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  • agent-device
    Open source device layer for AI agents: control mobile, web, TV, and desktop apps over MCP
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  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
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