Enables AI assistants to control and automate OBS Studio via natural language, covering scenes, sources, audio, recording, streaming, transitions, filters, media playback, diagnostics, and multi-step workflows over the OBS WebSocket protocol.
Exposes WAVE streaming APIs as tools for AI assistants to manage live streams, studio productions, and real-time analytics. It enables users to control stream lifecycles, monitor health metrics, and access billing usage through the Model Context Protocol.
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 MCP clients to control OBS Studio through an inspectable WebSocket interface. Provides 155 tools for managing scenes, sources, audio, transitions, filters, recording, and streaming through natural language.
MCP server that gives AI assistants direct control over Streamlabs Desktop, enabling scene switching, source/audio management, and streaming/recording controls through natural language.