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  • A
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    Enables AI assistants to inspect and safely control OBS Studio over obs-websocket v5, exposing scenes, inputs, filters, outputs and video settings as read and write tools that default to dry runs and refuse changes while live unless explicitly confirmed. It also provides Source Record and IRL readiness checks, a BRB auto-switcher, and a scene timeline log for cutting clips from VODs.
    17
    MIT
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    Enables interaction with Volcengine's TOS (Object Storage) service through MCP protocol. Supports bucket management, object operations, pre-signed URLs, and media processing including image manipulation and video frame extraction.
    13
    2
    Apache 2.0
  • A
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    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.
    155
    296 npm
    3
    GPL 2.0
  • A
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    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.
    89
    MIT
  • A
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    A server that provides tools to control OBS Studio remotely via the OBS WebSocket protocol, enabling management of scenes, sources, streaming, and recording through an MCP client interface.
    100
    296 npm
    145
    GPL 2.0
  • A
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    Enables an LLM agent to control a local OBS Studio instance via obs-websocket, launching it, arranging scenes and sources, and starting or stopping recordings so it can capture its own screen as raw footage without manual intervention.
    1
    MIT
  • A
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    Enables typed, native control of OBS Studio—scene/source discovery and recording start/stop/pause/resume with status readbacks—through a secure loopback WebSocket interface.
    GPL 2.0
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    A FastAPI-based MCP server that integrates with smartscreen.tv, allowing you to programmatically control web displays by displaying media, sending notifications, and controlling playback via HTTP commands.
    1
    MIT
  • A
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    maintenance
    Lets an AI model drive a Teenage Engineering OP-1 field over USB MIDI — designing sounds, playing scored parts, running tape and mixer, and authoring presets — while capturing every take from the device's own USB audio. The model then works from measured recordings of what was actually heard, reading levels, note detection and spectrograms rather than assuming what it sent.
    MIT