NBA Stats Predictor MCP

MCPOpen Source21.1

by dhrbtjr0331 • Analytics & Monitoring

An MCP server that provides local, model-based player performance forecasts for use within Claude Desktop.

Example Use Cases

1
Generate player performance forecasts using a locally hosted prediction model and up-to-date game data.
2
Call a FastAPI endpoint to fetch model predictions or integrate predictions into a larger workflow.
3
Automate data download, model training, and serve predictions to Claude Desktop via an MCP tool.

Description

This repository hosts an MCP-powered server that runs a data pipeline, trains an NBA player performance prediction model, and exposes predictions via a FastAPI server. It includes instructions to run the MCP tool so Claude Desktop can invoke the predictor locally. The tool is useful for generating real-time or near-real-time forecasts for upcoming games by combining downloaded data and a trained statistical model.

Quick Actions

View on GitHub

Security

Scanned 2 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

D47/100

6/17 checks passed

Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.

Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities0 Tools / 0 Prompts / 0 Resources

Ownerdhrbtjr0331

CategoryAnalytics & Monitoring

DependenciesStandalone