"Pi Network" matching MCP servers:

Enables control of a local Sonic Pi runtime to run code, stop jobs, read events, and search docs/samples/synthdefs via OSC messages.

A Model Context Protocol server that allows AI assistants like Claude and Cursor to create music and control Sonic Pi programmatically through OSC messages.

Enables remote control of audio playback and system volume on a Raspberry Pi via the Model Context Protocol (MCP).

MCP server that connects Claude Code to Sonic Pi for AI-assisted beat making, enabling live code execution and pattern management.

MCP server that lets AI assistants control Siglent SDG waveform generators over a local network using natural language, supporting signal generation, modulation, sweep, burst, and arbitrary waveforms.

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.

Controls Ableton Live from an AI assistant with ~130 commands for tracks, instruments, effects, MIDI clips, automation, and mixing.

Enables seamless integration with Typecast API through the Model Context Protocol, allowing clients to manage voices, convert text to speech, and play audio in a standardized way.

Enables AI assistants to read and control FL Studio 2025 projects via file-based RPC and MIDI wake, overcoming sandbox restrictions for tempo, mixer, and note recording.

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.

Enables local AI assistants to control and explore the macOS Music app through 12 tools for playback, playlists, songs, albums, and metadata, with full privacy and no network access.

Enables AI agents and developers to generate images, videos, audio, and text using 100+ models via MCP or REST with a single API key.

Music Production AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Provides LLMs with full access to the Ken Video API for professional video processing, including adding audio, captions, and job management.

Provides adaptive jitter buffering and packet loss concealment for real-time voice streams, ensuring smooth audio playout in unstable network conditions.

Enables AI agents to produce professional promo videos by providing tools for capture, media search, scene writing, rendering, editing, and incremental revision.

Enables AI agents to create and edit Strudel music code, render offline WAV audio, and obtain structured hearing reports with waveform, spectrogram, BPM, and onset analysis.

Enables MCP clients to drive a Stack-chan desk robot over the network, exposing tools for photos, audio recording, speech, head movement, LED control, and touch events.

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.

Integrates AI-powered music generation with professional production tools, enabling autonomous music creation workflows from MIDI input to live streaming.