"App element selection for context" matching MCP servers:

Enables playing and inspecting local audio files in an MCP host with an in-conversation UI showing waveform, spectrogram, and loudness metrics, while exposing playback state and metadata to the model.

Local MCP server for private, consent-based speaker identification and attribution, with per-language voiceprints and calibrated match thresholds. It lets AI assistants know who is speaking in a room or transcript without cloud services.

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 Cursor, Claude, and other MCP agents to interact with the HyperWhisper app for voice transcription, model management, and recording search.

An interactive digital audio workstation as an MCP server, enabling music production with a channel rack, piano roll, mixer, effects, automation, microphone recording, and offline WAV rendering.

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.

This service provides fast and reliable transcriptions for audio/video files and voice memos. It allows LLMs to interact with the text content of audio/video file.

Run AI workflows hosted on Glif.app via MCP, including ComfyUI-based image generators, meme generators, selfies, chained LLM calls, and more

MCP server providing 115 tools to control the Windy Word voice-to-text desktop app, enabling paste, hotkeys, transcription, recording, and many other operations.

MCP server for Suno music generation API that enables generating lyrics and custom songs with style tags, model selection, and automatic polling for task completion.

MCP server for Audionaut, a free, open-source multitrack audio editor for macOS, Windows and Linux. Agents can split and move clips, set gain, fades and crossfades, time-stretch, work with regions, run audio analysis and Auto Edit, separate stems and export. When the project is open in the app, each edit lands there as one undo step and the project file is never overwritten. Setup: npx -y audionau

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.

Lets Claude or any MCP client drive the macOS Music app locally to control playback, search the library, build and edit playlists, set favorites, and pull listening statistics like top tracks, artists, albums, and genres.

Controls Lyngdorf Audio devices (TDAI, MP, CD series) via TCP with automatic device discovery, comprehensive audio controls including volume, source selection, RoomPerfect, and playback management with built-in safety features.

Enables audio file analysis using Google's Gemini multimodal models with support for additional context and system instructions to guide the model's behavior.

A Model Context Protocol server for macOS that enables AI assistants to play system sounds for audio feedback, offering informational, warning, and error sound options.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.