mcp server

kd-scout

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

moiosintel/kd-scoutcommunitylistedunreviewed

Use tool

Set up

Runs on your computer. Pick your agent and operating system.

Before you start

uv (`curl -LsSf https://astral.sh/uv/install.sh | sh`)

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "kd-scout": {
      "command": "uvx",
      "args": [
        "kd-scout"
      ]
    }
  }
}

same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12

Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs

README

synced Oct 23, 2026

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

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

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

Or point any MCP client at the module directly:

{"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