"Running queries in Apache Superset" matching MCP servers:

Enables users to build and tweak BOSS GT-1 guitar tones and patches through plain-language conversation, with Claude writing amp, drive, and effect settings over USB. It can also listen to the pedal's audio, adjust levels and noise suppression, manage user slots, and run a metronome.

Enables real-time full-duplex voice agents to classify user interruptions, backchannels, and acoustic echo, and to arbitrate turn-taking with context rollback via MCP.

Enables real-time voice agents to arbitrate full-duplex speech by classifying user interruptions, backchannels, and acoustic echo while supporting context rollback.

MCP server for Astra's Companion API v2 that lets Claude and other MCP clients view and control a running Astra desktop music player, including playback, search, queue, favorites, and playlists.

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.

Lets a model write FL Studio projects (notes, any installed plugin and preset, mixer, sidechain, automation), open them in a running FL, and render them.

Enables transcription of local audio files and YouTube links in over 40 languages, including translation between supported languages and English, by calling an already-running Nemotron 3.5 Transcribe endpoint. Long recordings are automatically split at pauses and processed piece by piece, with optional speaker repetition at joins.

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.

Enables an MCP client to drive a running SDR++ instance to discover, analyze, identify, demodulate, record, decode, and log radio signals.

An MCP server that lets Claude and other MCP clients read PreSonus Studio One .song files directly and drive a running Studio One through an in-app bridge device. It exposes tools for songs, tracks, takes, markers, transport, mixer channels, meters and roughly 1,000 Studio One commands.

Connects any MCP-compatible AI assistant to Audacity, providing 132 tools for real-time audio editing, cleanup, mastering, and transcription — all running locally without cloud dependencies.

Enables an agent to DJ in FUSER by searching songs, dropping discs on the decks, and changing key and tempo through a mod running inside the game.

Enables MCP clients to play a fixed built-in audio track and display native Windows/macOS desktop notifications through stdio.

Provides a durable MCP media pipeline for image, video, audio, and storyboard generation, with FFmpeg composition, provider routing, and resumable long-running jobs.

Enables MCP agents to retrieve Japanese voice presets and synthesize anime-style speech, including reference-conditioned voice cloning, using the CPU of the computer running the local Gradio app.

Enables agents to find, preview, and download free CC0 sound effects by asking for a role, taking one of 18 curated sets, or running free-text search with duration, loop, and format constraints, returning permanent hotlinkable WAV/MP3 URLs. When nothing in the library fits, it can also generate new sounds from a description, with free takes to refine, given an API key.

Enables AI agents to fuse 2D/3D visual bounding boxes, user head-pose gaze vectors, and acoustic beamforming azimuth angles into cross-modal focal salience scores. It also resolves deictic spatial references in real time, running as a zero-dependency Python MCP server over JSON-RPC stdio.

Enables asynchronous image, video, and music generation tasks with status queries, cancellation, and reference-material inputs, exposing finished works through aigc://artifacts resources and completion notifications. Providers are explicitly configured and disabled by default, with outputs retrieved via read or resource queries.

Connects AI assistants to a local music library for full-text search and filtering of tracks, albums, artists, genres, composers, and lyrics, plus listening analytics and metadata hygiene audits. Also lets users generate and populate playlists and control playback (play, pause, seek, volume) in a running player instance.

An MCP server that exposes a synthesizer composer's command catalog as tools, enabling Claude to compose, sound-design, and mix in a live browser session.

Enables MCP clients to speak by running local voice models using Chatterbox Turbo TTS or Kokoro TTS, with support for voice cloning, paralinguistic tags, and multiple voices.

Generates original AI music through Claude, powered by ACE-Step 1.5, running entirely on your local machine with no cloud dependency.

A text-to-speech MCP server with 48 voices across 9 languages, supporting emotion spans, SFX tags, and multi-speaker dialogue. Deployable via a single npx command with built-in guardrails and swappable backends.

Enables agents to edit short lyrics in authorized songs by uploading audio, selecting a phrase, supplying replacement words, previewing the result, and exporting the finished track through scoped tools.

A music MCP server enabling multi-agent collaboration where AI agents jam together in real-time, with 20 tools, conductor mode, and zero dependencies.

Enables music composition and playback using Strudel patterns in the terminal. Supports multi-track editing, effects, rendering to WAV, and AI-assisted composition via genre presets.

Bridges a running GPT-SoVITS API into MCP clients for local speech synthesis with reference-audio emotion mapping, dialogue WAV stitching, voice and status inspection, and bounded audio resource retrieval over stdio or Streamable HTTP.

Enables agents to co-edit live music sessions, create, remix, publish, export MIDI, and analyze musical structure in the Keyboardia collaborative step sequencer.

Enables AI agents to speak and listen in real-time with interruption handling, using local ML models and hot-swappable adapters.

Enables reading and writing a running Ableton Live session by creating MIDI, device chains, automation, and arrangement markers while verifying each write by reading it back. It also measures the user's own projects and library to answer with counts and evidence rather than guesses.