SportsQuant MCP Server
by Veedubin
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SPORTSQUANT_PARLAY | No | Correlated Monte Carlo parlay optimization | true |
| SPORTSQUANT_RATINGS | No | RAPTOR, Massey, PageRank, and Bayesian priors | true |
| SPORTSQUANT_ANALYSIS | No | Matchup, Venue, and Rest-day splits | true |
| SPORTSQUANT_PORTFOLIO | No | Risk analysis, position sizing, and heat checks | true |
| SPORTSQUANT_MCP_CONFIG | No | Path to a JSON config file for advanced overrides | |
| SPORTSQUANT_BACKTESTING | No | Historical simulation and performance metrics | true |
| SPORTSQUANT_PREDICTIONS | No | PRA and Game-level XGBoost predictions | true |
| SPORTSQUANT_BETTING_MATH | No | EV, Kelly, Arbitrage, Odds conversion | true |
| SPORTSQUANT_DATA_SOURCES | No | Pinnacle and ESPN scrapers | true |
| SPORTSQUANT_MCP_LOG_LEVEL | No | Logging level (DEBUG, INFO, WARNING, ERROR) | INFO |
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Veedubin/sportsquant-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server