"MLB" matching MCP servers:

Provides access to comprehensive MLB baseball statistics through the MLB Stats API, pybaseball library, Statcast data, FanGraphs, and Baseball Reference, including support for generating matplotlib visualizations.

Enables users to query MLB Statcast, FanGraphs, and Baseball Reference data using natural language through an AI assistant. It provides comprehensive tools for analyzing player performance, pitch-level data, season leaderboards, and team standings.

Real-time sports card pricing, market analysis, arbitrage detection, grading ROI, investment advice, and player stats (NBA/NFL/MLB). 9 tools for AI agents helping collectors and investors.

Provides access to FantasyPros API for retrieving sports data including news, player information, consensus rankings, and projections across NFL, MLB, NBA, and NHL.

Enables AI agents to query current sports injuries, player projections, and player prop betting markets across the NFL, NBA, MLB, NHL, CFB, and CBB via SportsDataIO's API.

An MCP server that gives AI agents the ability to profile a CSV, define an ML task, tune XGBoost and LightGBM with Optuna, and produce a markdown report with feature importance, all from natural language.

Sorqen is a sports fair-value API + MCP server: it turns sportsbook odds into a versioned, no-vig consensus probability for NFL/NBA/MLB/NHL moneyline, spread, and total markets, with confidence, provenance, and freshness attached to every number instead of a black-box pick.

Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.

Enables interaction with Comet ML's experiment tracking platform through the Model Context Protocol, providing tools for experiment management, project organization, and advanced search.

Provides GPU-accelerated scientific computing capabilities including symbolic mathematics, quantum wave mechanics simulations, molecular dynamics, and neural network training through four specialized MCP servers.

Enables natural-language evaluation, explanation, and reporting of any trained ML model, including performance metrics, prediction insights, drift detection, and PDF report generation.