# racing-alpha-mcp

> racing-alpha-mcp — qtexuk-racing-alpha-mcp. Use this tool when you need to analyze horse racing data for informed decision-making, as it provides AI agents with per-runner scores, fair prices, and performance metrics. This tool solves problems related to betting and racing strategy by offering accurate and comprehensive data, including draw-bias aggregates and trainer-jockey strike rates. It accepts racing event inputs and outputs actionable insights, making it ideal for use in contexts where data-driven racing predictions are crucial.

Canonical page: https://skillsregistry.net/skills/qtexuk-racing-alpha-mcp  
JSON: https://api.skillsregistry.net/v1/skills/qtexuk-racing-alpha-mcp

## Description

GB & Irish horse racing signals for AI agents: per-runner AI scores, de-overrounded fair prices, draw-bias aggregates, trainer-jockey strike rates, and Racing Alpha's database-frozen public tips ledger (losses included).

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iwtdj5ibid)
- **Repository:** <https://github.com/qtexuk/racing-alpha-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": "qtexuk-racing-alpha-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qtexuk-racing-alpha-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qtexuk-racing-alpha-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
