# kenpom

> Use this tool when you need to analyze basketball team performance and predict game outcomes. Kenpom provides 11 tools for querying KenPom basketball analytics, including efficiency ratings, four factors, and game predictions, offering insights into team strengths and weaknesses. It takes basketball-related queries as input and outputs detailed analytics and predictions through the Claude interface.

Canonical page: https://skillsregistry.net/skills/omalleyandy-kenpom-client  
JSON: https://api.skillsregistry.net/v1/skills/omalleyandy-kenpom-client

## Description

A Python MCP server providing 11 tools for querying KenPom basketball analytics, including efficiency ratings, game predictions, four factors, and more through Claude.

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rvbfoucnay)
- **Repository:** <https://github.com/omalleyandy/kenpom-client>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "omalleyandy-kenpom-client"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/omalleyandy-kenpom-client` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/omalleyandy-kenpom-client/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt