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Official description7 sourcesMCP servers8d ago
serpdive/serpdive-mcp

serpdive/serpdive-mcp

Web search returning extracte
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Config template (adjust for your client)
claude mcp add serpdive-mcp -- npx -y serpdive-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · serpdive/serpdive-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 serpdive/serpdive-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.
Third-party quality signals

SERPdive MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Give any MCP client real-time web search with answer-ready results. SERPdive is the AI Search API: ask a question, get the actual content of the best pages, extracted, cleaned, and sized for an LLM. On a public, replayable 1,000-question benchmark, SERPdive runs at the same speed as Tavily, feeds your LLM 20.2% fewer tokens, and wins 60.7% of decided quality duels. If you are evaluating Tavily alternatives, that benchmark is public and replayable end to end: same questions, same judge, your machine.
**There is a free tier, and it has no ceiling.** The krill model is free and unlimited under fair use — no card, no credits, nothing to decrement. It returns the shortest set of sentences that still answers (about 700 tokens a search, roughly half what the usual alternatives send), one request at a time, at low priority. Use it to build; switch one word to mako when you need depth and steady latency.
One tool, serpdive_search. Two ways to run it:
- **Hosted (recommended)**: https://mcp.serpdive.com, nothing to install.
- **Local (this package)**: npx -y serpdive-mcp, stdio, zero dependencies.
Get a free API key at serpdive.com/dashboard/keys (no card required).
Hosted server
Claude Code
Cursor and other JSON-config clients
Both https://mcp.serpdive.com/ and https://mcp.serpdive.com/mcp answer, so either URL shape works.
Local server (npx)
Claude Desktop
Add to claude_desktop_config.json (Settings > Developer > Edit Config):
Claude Code
Cursor and other JSON-config clients
The tool
serpdive_search(query, model?, max_results?)
| Argument | Type | Description |
|---|---|---|
| query | string, required | The search, in any language. Localization is automatic. |
| model | "mako" \| "moby" | mako (default): the fact-carrying sentences of each page, fast. moby: full page text — slower (~1s more) and several times more tokens; use only when mako's key sentences are insufficient (long-document analysis, deep research). |
| max_results | integer, 1-10 | Cap on delivered results. Omit for the engine's calibrated mix. |
The response is the raw SERPdive JSON: query, model, response_time_ms, optional extra_info, and results as [{ url, title, date?, content }]. Failed searches are never billed.
Source
awesome · https://github.com/serpdive/serpdive-mcp
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