Official description7 sourcesMCP servers8d ago

moiosintel/kd-scout

Keyword research calculations: difficulty

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Config template (adjust for your client)

claude mcp add kd-scout -- npx -y kd-scout

A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.

Star count: 0 ★ · moiosintel/kd-scout · read from the repository page · (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 moiosintel/kd-scout；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

kd-scout

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

Zero-dependency MCP server for keyword research arithmetic: difficulty estimation,
opportunity scoring, and structured content briefs. Runs anywhere Python 3.10+ runs -
no packages, no API keys required for the deterministic mode.
Tools
| Tool | Input | Output |
|---|---|---|
| keyword_difficulty | keywords[] | per-keyword difficulty 0-100 |
| opportunity_score | difficulty, monthly_volume | blended 0-100 score |
| content_brief | topic | H2 outline, word-count target, FAQs, schema type |
Install
Or point any MCP client at the module directly:
Production use
The scoring model is derived from the editorial pipeline behind
Groundwork's money & tools research, where it screens
hundreds of candidate keywords weekly.
License
MIT