SportsQuant MCP Server
Provides direct access to the SportsQuant data warehouse for querying and managing sports betting data.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SportsQuant MCP Servercalculate EV for Lakers vs Celtics moneyline"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
SportsQuant MCP Server — Quick Start Guide
SportsQuant MCP is a high-performance Model Context Protocol (MCP) server that wraps the sportsquant 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 sportsquant-mcpOpenCode Integration
Add the following to your opencode.json to enable the server with all categories:
{
"mcpServers": {
"sportsquant": {
"command": "uv",
"args": ["run", "sportsquant-mcp"],
"env": {
"SPORTSQUANT_BETTING_MATH": "true",
"SPORTSQUANT_BACKTESTING": "true",
"SPORTSQUANT_PREDICTIONS": "true",
"SPORTSQUANT_RATINGS": "true",
"SPORTSQUANT_DATA_SOURCES": "true",
"SPORTSQUANT_PORTFOLIO": "true",
"SPORTSQUANT_PARLAY": "true",
"SPORTSQUANT_ANALYSIS": "true"
}
}
}
}Related MCP server: Polymarket MCP Server
⚙️ 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 |
|
| EV, Kelly, Arbitrage, Odds conversion |
|
| Historical simulation and performance metrics |
|
| PRA and Game-level XGBoost predictions |
|
| RAPTOR, Massey, PageRank, and Bayesian priors |
|
| Pinnacle and ESPN scrapers |
|
| Risk analysis, position sizing, and heat checks |
|
| Correlated Monte Carlo parlay optimization |
|
| Matchup, Venue, and Rest-day splits |
| (none) | Path to a JSON config file for advanced overrides |
|
| Logging level ( |
📚 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 SportsQuant 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 SportsQuant data warehouse.
📄 License
MIT License. See LICENSE file for details.
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