claude mcp add grounder-mcp -- npx -y grounder-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · rozetyp/grounder-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository rozetyp/grounder-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Live web grounding for local and cloud LLMs, as four MCP tools. Every model is frozen at its training cutoff; Grounder gives yours the current web - ranked results, real page content, and a cited evidence pack sized to your context window. A thin stdio client for the hosted service at https://grounder.dev - no browser, no scraper, nothing heavy runs locally. It runs with **no signup** on a shared demo key; add your own free key (1,500 pages/month, no card) at grounder.dev for real use. Install Configure Claude Desktop, Cursor, LM Studio, Continue.dev, or any MCP client. The key is **optional** - omit it to try Grounder on the shared demo key, or add your own free key from grounder.dev: The four tools | Tool | What it does | |---|---| | web_search | Google organic results plus people-also-ask, related searches, and the knowledge graph. The top snippet often already holds the answer. | | fetch | One page as clean markdown, capped to your token budget, plus the final URL after redirects. | | deep_search | One search, read across the pages it surfaces, ranked into a token-capped, cited evidence pack. Optional grounded answer. | | research | Investigates an open question with no ready-made answer: it plans, reads primary sources, notices what is missing, goes back for it, and reasons to a grounded conclusion. | Why use it - **It fits a small context window.** Results come back token-capped, so they slot into an 8-32k local model instead of overflowing it. A few raw pages can be 20,000+ tokens (we measured 22,759 for one query) - enough to make a small model return nothing. You get the relevant passages, not whole pages. - **The live page, not a cached copy.** fetch reads the actual current page; any caching is short, timestamped, and force-refreshable. - **Flat monthly price, billed in pages.** You only pay for pages actually delivered. No per-call metering.