Zero-dependency MCP server for keyword research arithmetic: difficulty estimation, opportunity scoring, and structured content briefs. Install: pip install kd-scout.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
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.
| 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 |
Or point any MCP client at the module directly:
The scoring model is derived from the editorial pipeline behind Groundwork's money & tools research, where it screens hundreds of candidate keywords weekly.
MIT
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