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    Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.
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    Enables AI coding agents to synthesize and play concise spoken summaries of their work through multiple TTS providers, including Azure, OpenRouter, OpenAI, Gemini, ElevenLabs, and local OpenAI-compatible endpoints. It also lets agents stop playback on demand and check which provider, voice, and audio bridge are currently active.
    3
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    MIT
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    Enables Claude or any AI agent to operate Live 12 Intro end to end: creating tracks and scenes, writing and quantizing MIDI clips, loading audio onto the Arrangement timeline, setting device parameters in real units, drawing clip automation, mixing with real sidechain, and rendering or analyzing audio so the agent can check its own work. It exposes 57 tools over MCP or a local JSON socket, working within the stock Intro edition's 16-track, 16-scene limits.
    57
    MIT
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    MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.
    2
    MIT
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    A Model Context Protocol implementation that plays sound effects (completion, error, notification) for Cursor AI and other MCP-compatible environments, providing audio feedback for a more interactive coding experience.
    3
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    MIT
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    MCP server exposing IAMF conformance validation and packaging tools, enabling agents to validate IAMF files and compile/manage packaging plans through natural language, with read-only operation by default and optional execution.
    4
    46 PyPI
    Apache 2.0
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    Generates room impulse responses as WAV files from natural language descriptions, enabling agents to create realistic or arbitrary reverb for audio production.
    1
    MIT
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    A local MCP server that rings a bell through your speakers to provide audible notifications when AI completes tasks or needs attention.
    2
    MIT
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    Enables AI agents to perform local audio tasks such as speech synthesis, voice cloning, music and sound effect generation, and audio editing through MCP, with GPU models loaded on demand and released after idle.
    6
    MIT
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    A server that enables agents to play notification sounds and desktop toasts, useful for notifying users when background tasks complete.
    3
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    A job queue-based FFmpeg wrapper enabling AI assistants to perform video processing tasks such as trimming, format conversion, resolution change, and subtitle conversion through natural language.
    8
    MIT
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    MCP server for Suno music generation API that enables generating lyrics and custom songs with style tags, model selection, and automatic polling for task completion.
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    Enables coding agents to synthesize and play video-game sound effects by translating natural-language descriptions into layered synthesis specs, then rendering normalized WAV files.
    9
    MIT
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    An LLM-friendly Model Context Protocol server for video and audio editing, built on MoviePy v2 and FastMCP. It lets MCP clients trim, merge, resize, overlay, mix audio, and render video through natural language.
    27
    MIT