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    Enables AI assistants to generate and control real-time audio synthesis through natural language descriptions using SuperCollider. Features 10 built-in synth types, pattern sequencing, audio recording, and server lifecycle management for creating sounds from simple English descriptions.
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    Provides AI editors with access to Deepgram's speech-to-text transcription and audio intelligence tools. Dynamically fetches available capabilities from Deepgram's API at runtime, ensuring access to new features without package upgrades.
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    MIT
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    Provides comprehensive access to ElevenLabs AI audio features including text-to-speech, voice cloning, sound generation, and audio isolation. Enables users to generate high-quality speech, manage voices, transform audio, and access ElevenLabs services through natural language interactions.
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    MIT
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    An MCP server for Spotify control and synchronized lyrics retrieval that enables playback management, queue navigation, and music search capabilities. It also features perception tools for real-time track analysis, including BPM, key detection, and timestamped lyrics.
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    Apache 2.0
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    An MCP server that turns Claude into a hands-on video editor for short-form videos, enabling music generation, script writing, voiceover synthesis, and video stitching with FFmpeg. It also features a text-to-documentary skill that converts long-form text into structured documentary videos.
    MIT
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    A Docker-containerized MCP proxy that provides AI image generation, text generation, vision analysis, and text-to-speech capabilities through REST endpoints using Pollinations AI services. Enables multimodal AI interactions including image creation, transformation, OCR, and audio generation through standard HTTP APIs.
    MIT
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    A beta server that enables integration with Daisys.ai services via the Message Control Protocol (MCP), allowing AI clients like Claude Desktop and Cursor to use Daisys features through a standardized interface.
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    A Python-based server that enables accessing and analyzing bird detection data through the Model Context Protocol, offering features like filtering detections, accessing audio recordings, and generating reports.
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    Enables comprehensive management of Anki decks and notes through the Model Context Protocol, including bulk operations and note type customization. It features integrated high-quality audio generation for flashcards using ElevenLabs and Google Cloud Text-to-Speech APIs.
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