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    An MCP server that enables AI assistants to search, analyze, and retrieve information about audio samples from Freesound.org through their API.
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    MIT
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    A powerful MCP tool for parsing and manipulating MIDI files that allows users to read, analyze, and modify MIDI files through natural language commands, supporting operations like reading file information, modifying tracks, adding notes, and setting tempo.
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    MIT
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    An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.
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    Enables searching and downloading audio samples from Freesound using keywords, filters, and sound IDs. It provides detailed sound metadata including duration, license information, and preview URLs.
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    MIT
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    An MCP server to control Ableton Live via the Live API, offering curated tools for transport, tracks, clips, devices, automation, and more, plus a generic layer to access the entire Live Object Model.
    MIT
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    A cinema-grade video production MCP server that enables automated website recording, editing, and AI-powered narration using ffmpeg and Playwright. It provides tools for color grading, captioning, and converting videos into social media formats through natural language commands.
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    MIT
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    Connects AI coding agents to PreSonus StudioLive III mixers over the local network, exposing live mixer context such as channel names, mute/solo/fader state, Fat Channel compressor/EQ models, and meter activity as MCP resources and tools for reading and reasoning about live sound engineering.
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    MIT
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    Integrates with Freesound.org to enable searching, discovering, and previewing audio content such as sound effects and music loops. It provides detailed metadata and licensing information to support video editing and content creation workflows.
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    MIT
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    Controls a Strymon BigSky MX reverb pedal over USB MIDI, enabling preset management, parameter tweaking, and machine configuration from Claude or the command line.
    MIT
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    Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.
    MIT
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    The Rendr MCP server allows AI agents to control the full video editing workflow, including recording, timeline editing, color grading, and exporting.
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    Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.
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    Voice input for Claude Code — speak Vietnamese or English; hold a hotkey, speak, release, and the transcribed text is cleaned and pasted into the input box for editing before sending.
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