SportsQuant Server
БесплатноНе проверенProvides AI agents with professional-grade tools for expected value calculation, Monte Carlo predictions, historical backtesting, and portfolio risk management
Описание
Provides AI agents with professional-grade tools for expected value calculation, Monte Carlo predictions, historical backtesting, and portfolio risk management in sports betting.
README
Quant-Sports MCP is a high-performance Model Context Protocol (MCP) server that wraps the quantitative_sports quantitative sports betting toolkit. It provides AI agents with professional-grade tools for expected value (EV) calculation, Monte Carlo predictions, historical backtesting, and portfolio risk management.
🚀 Quick Start
Installation
Ensure you have uv installed. Navigate to the project root and run:
uv sync
uv run quant-sports-mcp
OpenCode Integration
Add the following to your opencode.json to enable the server with all categories:
{
"mcpServers": {
"quantitative_sports": {
"command": "uv",
"args": ["run", "quant-sports-mcp"],
"env": {
"QUANT_SPORTS_BETTING_MATH": "true",
"QUANT_SPORTS_BACKTESTING": "true",
"QUANT_SPORTS_PREDICTIONS": "true",
"QUANT_SPORTS_RATINGS": "true",
"QUANT_SPORTS_DATA_SOURCES": "true",
"QUANT_SPORTS_PORTFOLIO": "true",
"QUANT_SPORTS_PARLAY": "true",
"QUANT_SPORTS_ANALYSIS": "true"
}
}
}
}
⚙️ Configuration Reference
The server uses a category-based toggle system. You can enable/disable groups of tools via environment variables or a JSON config file.
Environment Variables
| Variable | Default | Description |
|---|---|---|
QUANT_SPORTS_BETTING_MATH |
true |
EV, Kelly, Arbitrage, Odds conversion |
QUANT_SPORTS_BACKTESTING |
true |
Historical simulation and performance metrics |
QUANT_SPORTS_PREDICTIONS |
true |
PRA and Game-level XGBoost predictions |
QUANT_SPORTS_RATINGS |
true |
RAPTOR, Massey, PageRank, and Bayesian priors |
QUANT_SPORTS_DATA_SOURCES |
true |
Pinnacle and ESPN scrapers |
QUANT_SPORTS_PORTFOLIO |
true |
Risk analysis, position sizing, and heat checks |
QUANT_SPORTS_PARLAY |
true |
Correlated Monte Carlo parlay optimization |
QUANT_SPORTS_ANALYSIS |
true |
Matchup, Venue, and Rest-day splits |
QUANT_SPORTS_MCP_CONFIG |
(none) | Path to a JSON config file for advanced overrides |
QUANT_SPORTS_MCP_LOG_LEVEL |
INFO |
Logging level (DEBUG, INFO, WARNING, ERROR) |
📚 Documentation
- TOOLS.md: The comprehensive tool reference including parameter types, return formats, and mathematical formulas for all 37 tools.
- ARCHITECTURE.md: Technical specification and implementation details.
🛠 Companion Servers
For a complete quantitative betting workflow, we recommend integrating Quant-Sports with:
- Neuralgentics / memini-ai: For long-term memory of strategy performance.
- boomerang-v3: To orchestrate complex "Research $\rightarrow$ Predict $\rightarrow$ Size $\rightarrow$ Deploy" workflows.
- Calculator MCP: For independent verification of complex math.
- PostgreSQL MCP: For direct access to the Quant-Sports data warehouse.
📄 License
MIT License. See LICENSE file for details.
Установить SportsQuant Server в Claude Desktop, Claude Code, Cursor
unyly install sportsquant-mcp-serverСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add sportsquant-mcp-server -- uvx --from git+https://github.com/Veedubin/quant-sports-mcp quant-sports-mcpFAQ
SportsQuant Server MCP бесплатный?
Да, SportsQuant Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для SportsQuant Server?
Нет, SportsQuant Server работает без API-ключей и переменных окружения.
SportsQuant Server — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить SportsQuant Server в Claude Desktop, Claude Code или Cursor?
Открой SportsQuant Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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