# CourtVision Rules MCP

> Use this tool when you need to accurately track live pickleball matches and enforce official scoring rules. It turns complex rules into callable tools for Large Language Models (LLMs), solving issues with manual scoring and rule interpretation. By integrating CourtVision Rules MCP, LLMs can receive inputs such as match data and output accurate scores and rule-based decisions.

Canonical page: https://skillsregistry.net/skills/whitgai-courtvision-rules-mcp  
JSON: https://api.skillsregistry.net/v1/skills/whitgai-courtvision-rules-mcp

## Description

Turns official pickleball scoring rules into callable tools for LLMs to track live matches accurately.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wj2k2xc4nz)
- **Repository:** <https://github.com/WhitGai/courtvision-rules-mcp>

## 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": "whitgai-courtvision-rules-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/whitgai-courtvision-rules-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/whitgai-courtvision-rules-mcp/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