"Techniques for Optimizing Oracle Database Queries" matching MCP servers:

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.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

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.

MCP server that exposes recorded family stories as read-only tools, enabling Alexa+ to retrieve and deliver voice stories to children through natural language.

Enables ChatGPT to generate ElevenLabs speech from text, returning playable MP3 audio, with voice listing and preference management.

Provides access to a database of over 8,800 headphones and IEMs for equalization settings, sound signature analysis, and Harman preference scores. It enables AI assistants to search, compare, and recommend headphones based on frequency response measurements and parametric EQ profiles.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

MCP server for the AssemblyAI API, providing tools for transcription, subtitles, speaker turns, word search, and LeMUR-based queries.

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.

Enables AI agents to drive the local YuE Studio music creation desktop app, including guided wizards, song submission, job tracking, lyric input, cancellation, and style reference queries for composing and adapting songs.

Enables fetching transcripts from YouTube videos by searching for videos based on text queries and retrieving either official transcripts or generating them using AI-powered transcription with Whisper when official transcripts are unavailable.

Bridges MCP clients to a running SuperCollider IDE, enabling code evaluation, state queries, post window capture, and screenshots via OSC.

Enables agents to conjure individual sounds by semantic text search over a CLAP-embedded audio database and render them into stereo, 5.1, or 7.1.4 spatial mixes, with tools for summing mixes, analyzing a mix's sounds and spatial balance, and mimicking existing mixes. Documentation resources are exposed so the client can read usage guides on demand.

Gives AI agents access to the StarSinger AI music catalog for searching, streaming, and browsing tracks, and also allows creating songs with real vocals.

Enables acoustic vocal emotion, prosodic valence, and customer frustration analysis on audio queries via the Model Context Protocol, letting MCP-compliant clients obtain structured emotional telemetry and deterministic results.

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.

Provides access to HISE documentation, including UI component properties, Scripting API methods, and module parameters. It features a searchable database of code snippets and best practices to assist in audio software development.

Enables comprehensive control of Audiokinetic Wwise via natural language, including WAAPI/WAQL queries, atomic batch edits, SoundBank generation, real-time event subscriptions, profiler capture, and audio auditioning.

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.

Official MCP server for Rendobar. Lets AI agents run serverless media processing and upload local files.