# SportsQuant MCP Server

> Use this tool when you need to optimize sports betting strategies and manage portfolio risk. The SportsQuant MCP Server provides AI agents with advanced capabilities for expected value calculation, Monte Carlo predictions, and historical backtesting, solving problems related to informed decision-making and risk assessment. It takes in sports betting data and outputs optimized predictions and risk management recommendations.

Canonical page: https://skillsregistry.net/skills/veedubin-sportsquant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/veedubin-sportsquant-mcp

## Description

Provides AI agents with professional-grade tools for expected value calculation, Monte Carlo predictions, historical backtesting, and portfolio risk management in sports betting.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ikdv03cv16)
- **Repository:** <https://github.com/Veedubin/quant-sports-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": "veedubin-sportsquant-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/veedubin-sportsquant-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/veedubin-sportsquant-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