"A service for finding modern and well-maintained Python packages for solving problems" matching MCP servers:

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 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.

Enables Claude AI to control Ableton Live and Max for Live, allowing music production tasks like track management, MIDI editing, and pattern generation directly from conversation.

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.

Discover audio and LLM services, compare seven voices, and check prices for free. Generate speech, transcribe audio and request LLM text with optional capped USDC payments on Base; voice-cloning requirements are also available.

Enables AI assistants to perform video and audio processing tasks such as format conversion, cutting, merging, and adding effects via FFmpeg, with hardware acceleration support.

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.

A server that allows Claude to control audio playback on your computer, supporting MP3, WAV, and OGG files with features like play, list, and stop commands.

Enables MCP-capable chat clients to synthesize speech from text, convert it with a local RVC voice model, and render the result in an inline audio player.

A Model Context Protocol implementation that plays sound effects (completion, error, notification) for Cursor AI and other MCP-compatible environments, providing audio feedback for a more interactive coding experience.

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.

Facilitates the creation of DecentSampler drum kit configurations, supporting WAV file analysis and XML generation to ensure accurate sample lengths and well-structured presets.

Enables Claude to turn a described beat into a loopclub deep link for auditioning and renting on-chain by encoding track specs into a ?jam= URL and returning an ASCII grid. It also supplies vocabulary, genre examples, and a jam prompt to help generate idiomatic loops.

Enables AI agents to interact with the ParrotScribe transcription service on macOS, providing tools to start/stop transcription, retrieve real-time and historical transcripts, and search across sessions.

A Windows-native MCP server that lets Claude Desktop transcribe audio files locally using whisper.cpp, with no internet connection required.

Enables an MCP client to inspect and modify a running digital audio workstation session through a local Python remote-script TCP bridge, exposing tools for session and track structure, clip slots and MIDI notes, devices and browser items, and mixer/transport control. Read and bulk-write operations cover tempo, naming, clip creation and note editing, muting/soloing/arming, playback and scene launching, and device parameter loading and adjustment.

Lets AI assistants query available voices from an OpenAI-compatible TTS service and synthesize text into audio with a chosen voice, tone, and speed, returning a public audio URL instead of Base64 data.

Enables MCP clients to search songs, retrieve details and lyrics, and manage personal playlists on NetEase Cloud Music, with optional local player control on macOS, all through a privacy-first, self-hosted service.