"Twitch" matching MCP servers:

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 AI agents to query live Twitch data read-only through the Helix API, including top-streamed games, currently live streams filtered by game or language, channel and streamer search, and user profile lookups. Also supports natural-language questions that are routed to the right tool automatically.

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.

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 to retrieve user information, check live status, access videos, top streams, games, and search channels through natural language.

Enables agents to turn public video links into timestamped transcripts, chapters, and clip suggestions for YouTube, Twitch, Kick, and TikTok.

An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion. Whisper fallback — transcribes audio when subtitles are unavailable (local or OpenAI API). Works with Cursor and other MCP host

Enables management of multi-platform streaming through the Restream API, allowing control of streaming channels, stream settings, and access to analytics across platforms like YouTube, Twitch, and Facebook through natural language.

Enables AI agents to build channels from video and audio playlists, start, schedule, sync, stop and monitor live broadcasts across YouTube, Facebook, Twitch, LinkedIn and X, and read stream analytics afterwards. Also covers project and scene editing, media library management with upload and encode workflows, and destination validation, over a stateless streamable HTTP endpoint authenticated with a LiveReacting API key.

Enables AI assistants to download video or audio from YouTube, TikTok, Twitter/X, SoundCloud, Vimeo, Twitch, Streamable, Bandcamp, Mixcloud, and Dailymotion via a hosted MCP server.

Cloud streaming for AI agents — isolated browser environments that render and broadcast your content to Twitch, Kick, Restream, and custom RTMP.