"Learning Programming" matching MCP servers:

Enables AI to create and publish interactive web apps, games, and 3D scenes using Rosh, a plain-English programming language. It supports compilation to HTML5 canvas, Phaser, or Three.js.

Enables offline-first retrieval and teaching-oriented explanation of Stellaris game knowledge through BM25 search, page and section access, glossary and UI-label lookup, learning paths, ingestion queues, and optional timestamped video retrieval.

Provides live Fantasy Premier League data, expected-goals analytics, and a linear-programming squad optimizer, enabling users to build optimal FPL squads, compare players, find value picks, and get transfer and captain advice through natural language.

MCP server + Foundry VTT module for WFRP4e that lets AI clients interact with a Foundry world via tools for managing characters, journals, rolltables, and more.

Predicts video game scores (0-100 scale, similar to Metacritic ratings) using machine learning based on game characteristics like price, release month, tags, genres, and platforms, trained on Steam game data.