MCP Server for interacting with Old School RuneScape Wiki API and game data files, providing tools to search the OSRS Wiki and access game data definitions through the Model Context Protocol.
A Model Context Protocol implementation that enables AI agents to retrieve game data from OP.GG for League of Legends, Teamfight Tactics, Valorant, and esports through function calling.
A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game environment through natural language instruction
An MCP server that enables LLMs to 'see' what's happening in browser-based games and applications through vectorized canvas visualization and debug information.
Enables AI agents to analyze shogi (Japanese chess) positions and moves by integrating with USI protocol engines. Provides position analysis, move evaluation, and game state assessment through HTTP API bridge and MCP tools.
An MCP (Model-Controller-Processor) server for accessing League of Legends client data. This server provides a collection of tools that communicate with the League of Legends Live Client Data API to retrieve in-game data.
