"MLB" matching MCP servers:

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

MCP server that gives Claude live access to Major League Soccer data — teams, matches, standings, rosters, and schedule-strength analytics — via the ESPN public API.

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 MCP clients to generate images, speech, music, video, and 3D meshes via a remote mlx-serve instance on Apple Silicon.

Exposes a time series forecasting model as an MCP tool with built-in audit logging for every call, enabling trustworthy autonomous forecasting.

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.

Enables typed decisions (choice/score/noul) from Laya-MLX over MCP on Apple Silicon, without text generation.

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.

Bridges Claude Code and Claude Desktop to a locally-running LLM, optimized for MLX LM on Apple Silicon with support for any OpenAI-compatible backend.

Enables AI assistants to access a PlayStation Network account's gaming history, including playtime, trophies, and library, to provide personalized game recommendations based on real data.

Provides read-only access to the MLA Citation Generator's site overview, FAQs, and official links for AI clients to fetch canonical information about the free MLA 9th edition citation tool.

MCP server for mdbrowse that enables agents to fetch, search, and browse web pages as clean, token-efficient markdown with provenance, caching, and structured navigation.

Translates PowerPoint presentations while preserving formatting using Amazon Bedrock models, available as both a standalone tool and a FastMCP service for AI assistants like Amazon Q Developer.

Enables running ML experiments from a local laptop by coordinating GitHub for code, Kaggle for data and GPU training, Weights & Biases for tracking runs, and Google Drive for small artifacts.

Enables bounded, deterministic triage verdicts for server health, fleet status, and timeline investigation through a simulated execution-boundary MCP server.

Enables AI agents to interact with Dagster instances, explore data pipelines, monitor runs, and manage assets.

AI assistant tools for building high-converting immersive commerce showrooms from an existing e-commerce catalog. Built on Mantis XR's production immersive-commerce platform, used by Fortune 500 brands including New Balance, with deployments spanning the Paris 2024 Olympics, MLB (Chicago Cubs), NHL (St. Louis Blues), and the Premier League (Burnley FC and other clubs).

Enables storing and retrieving semantic memories using LanceDB vector database, with tools to add memories and search by similarity.

A server that integrates trained Random Forest models with Bee Framework, enabling ReAct interactivity for AI tools and agents.

Enables LLM clients to interact with the GNU Debugger (GDB) for comprehensive debugging and binary analysis. It provides a wide range of tools for program execution control, memory examination, stack analysis, and disassembly.