Kd Scout
Keyword research calculations: difficulty estimation, opportunity scoring and structured content briefs.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
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 serverOr 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
Frequently asked questions
What is Kd Scout?
Keyword research calculations: difficulty estimation, opportunity scoring and structured content briefs.
How do I install Kd Scout?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is Kd Scout open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Kd Scout?
It is published by moiosintel. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.