"Resources for developing user interfaces" 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.

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.

Enables 小智AI to search songs across multiple free music sources, resolve direct playback URLs, and stream audio to devices via the ResourceLink/resources/read protocol.

Enables AI-powered music generation through natural language commands, supporting both inspiration mode (AI-generated lyrics and style) and custom mode (user-provided lyrics and parameters) to create songs with direct download links.

A MCP server for accessing Zoom recordings and transcripts without requiring direct authentication from the end user.

Turns Ableton Live into an MCP-accessible control surface, providing tools for controlling transport, tracks, clips, and devices, as well as resources for reading live state.

Control DaVinci Resolve Studio from MCP clients. Provides tools and resources for editing, color grading, Fusion compositing, audio, playback, and rendering.

Provides audio inspection, conversion, processing, and generation capabilities via SoX, enabling AI agents to 'hear' and manipulate audio files through structured JSON interfaces.

Enables in-chat music playback by searching song names or specifying Netease song IDs, returning playable music cards with cover, lyrics, and a temporary audio proxy. It relies on a user-configured Netease-compatible API and supports custom card colors.

Local MCP server for macOS that captures microphone input and/or system audio output into explicit, user-defined sessions and exposes the raw WAV audio to AI agents through MCP tools.

A portable, Dockerized Python tool that implements Model Context Protocol for audio transcription using Whisper models, featuring both CLI and web UI interfaces for converting audio files to JSON transcriptions.

Enables control of Spotify playback, track search, and user profile retrieval via MCP tools with automatic OAuth token management.

Enables LLM clients to control Spotify and access user data through the Spotify Web API, including search, playback, playlists, and listening history. Each caller supplies their own credentials per request, so one instance can serve many users without storing any credentials.

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

An MCP server that plays notification sounds when AI coding assistants like Windsurf or Cursor require user attention, such as when coding is complete or when user approval is needed.

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.

Enables connecting a Spotify account to remote MCP clients to search music, manage libraries and playlists, and control playback with per-user OAuth authorization.

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.