Enables access to Twitch API data for retrieving channel statistics, viewership information, stream status, and discovering channels and game categories. Provides real-time Twitch data including follower counts, current viewer numbers, and search functionality through natural language interactions.
Enables interaction with the Twitch API, allowing users to retrieve comprehensive information about channels, streams, games, and more, with additional support for searching and accessing chat elements like emotes and badges.
This project is a fork and expansion of TomCools' Twitch MCP Server, which implements a Model Context Protocol (MCP) server that integrates with Twitch chat, allowing AI assistants like Claude to interact with your Twitch channel.
Enables interaction with League of Legends game data through the Riot Games API. Allows users to query player statistics, match history, and game information using natural language.