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    Gemini Audio MCP is a high-performance Model Context Protocol (MCP) server that leverages the power of the Gemini 2.0 Multimodal Live API to generate high-fidelity, environmental soundscapes on-demand.
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    MIT
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    Enables comprehensive video and audio processing using FFmpeg, supporting tasks like metadata extraction, clipping, scaling, and adding transitions or overlays. It provides a high-performance interface for building media processing microservices via FastMCP.
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    Enables programmatic control of Ableton Live using natural language to manage session transport, tracks, MIDI clips, and device parameters. It also integrates ElevenLabs for AI-generated audio and provides a high-performance framework for real-time performance tools.
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    MIT
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    Enables MCP clients like Claude Desktop to control the fldigi amateur radio digital modem application, including modem, rig, log, and transmit functions, with a callsign-based transmit safety gate.
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    72 PyPI
    GPL 3.0
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    Connects AI/LLM tools to Ableton Live through 440+ MCP tools spanning tracks, clips, devices, mixer, MIDI mapping, plugin management, video integration, setlists, performance monitoring, and audio analysis. Enables natural-language music production and real-time live show control, including scene firing, preset recall, and emergency stop.
    MIT
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    Lets an AI agent drive a running Cardinal modular synthesizer remotely, exposing patch listing/loading, module and host parameter tweaking, live rack read-back and save, natural-language parameter lookup, and tone/pattern recipe application. It works externally through Cardinal's OSC messages, autosave file layer, and screenshots, turning a mouse-built synth rack into editable, version-controllable text.
    MIT
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    An MCP server for audio/video transcription using MLX-optimized Whisper models, offering fast performance on Apple Silicon with support for multiple output formats and batch processing.
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    MIT
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    Two-mode creative music studio for AI: scored composition (ABC notation with sheet music) and live performance (Strudel live coding with TidalCycles), with interactive UI rendering inline in Claude Desktop and other MCP clients.
    1,640 npm
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    AGPL 3.0
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    Enables high-performance, offline transcription of videos from 1000+ platforms and local files using whisper.cpp, with support for multiple model sizes, languages, and output formats over stdio or HTTP.
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    Apache 2.0
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    Hosted MCP server that turns a one-line brief into finished, on-brand ad creative, including short video ads, product photos, and voiceover, with A/B variant testing and performance feedback loops.
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    An MCP server that interfaces with the Rewind.ai SQLite database to provide access to audio transcripts, screen OCR data, and activity tracking. It enables AI models to search personal memory, retrieve past conversations, and analyze application usage history.
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    A high-performance speech recognition MCP server based on Faster Whisper, providing efficient audio transcription capabilities with support for multiple model sizes, batch processing, and various output formats.
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    A local voice interface providing high-performance speech recognition and natural text-to-speech with voice cloning capabilities. It enables AI assistants to speak, listen, and engage in character-based voice conversations through integrated MCP tools.
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    An MCP server that enables analysis of local media files, including video, audio, and documents, by uploading them to EnriProxy for server-side extraction. It supports various complex file formats and provides structured model analysis for media types often unsupported by standard MCP clients.
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    276 npm
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    AGPL 3.0