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Zero-dependency MCP server: keyword difficulty, opportunity scoring, content briefs

0 stars PythonOthers Updated Aug 23, 2026
content-briefkeyword-researchmcp-servermodel-context-protocolpythonseo-toolskeyword-difficulty

Documentation

kd-scout

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

ToolInputOutput
`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

bash
pip install kd-scout
kd-scout            # stdio MCP server

Or point any MCP client at the module directly:

json
{"command": "kd-scout"}

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

Frequently asked questions

What is kd-scout?

kd-scout is Zero-dependency MCP server: keyword difficulty, opportunity scoring, content briefs

How do I install kd-scout?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is kd-scout open source?

Yes — it is hosted on GitHub at https://github.com/moiosintel/kd-scout.

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