Mcpsurfr MCP Server
Web search MCP server that does search result reranking locally on your machine, formerly known as mcp-local-rag. ✨ no API keys ✨
Mcpsurfr is an open-source mcp server by nkapila6, written mainly in Python, with 150 GitHub stars and the MIT license. Its code was last updated Oct 29, 2026.
Scan summary: scanned Nov 5, 2026 at commit ecad09c. Seen able to read environment and secrets, connect to the internet. Scan policy
ecad09c · Nov 5, 2026Findings (3)
- highHigh. Something risky that needs a close look before you install.network issueDetails are available to the maintainer after claiming this listing.
- mediumMedium. Worth checking, often a vulnerable dependency or a setup problem.dnspython@2.8.0: 1 known vulnerabilityGHSA-45c3-73f7-pv4m
uv.lock - lowLow. Minor, or common in normal tools. Shown for information.Reads environment variables not listed in the manifestMCPSURFR_LEGACY_TOOLS
Network activity
Tools exposed (4)
rag_search_ddgsSearch the web and return the most relevant pages as text, for when whole pages are wanted (search returns only the relevant passages). Results are re-ranked locally by semantic similarity to the query before the top pages are fetched.
searchSearch the web and return only the passages that answer the query, not whole pages: usually about a tenth of the text of rag_search_ddgs. Use this first. Tiers, cheapest first: 1. Search, then keep the top_pages results whose title/snippet match best. 2. Fetch those pages, split them into ~600-char
read_urlRead one page whose URL you already have: a link the user pasted, or one from earlier results. HTML or PDF. With a query, returns only the passages that answer it, the same way search does; without one, the page's main text (cut to the shared budget).
deep_researchResearch a topic across several search terms and engines. Each term is searched on each backend, results are re-ranked locally by relevance, duplicates are removed, and the best pages are fetched as text. Backends: auto, brave, duckduckgo, google, grokipedia, mojeek, startpage, wikipedia, yahoo. -
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