Enables transcription, summarization, and action item extraction from audio files on your Mac using MacWhisper and Claude Desktop, all locally without any cloud APIs.
Control Ableton Live from Claude Code via the Model Context Protocol (MCP). Create/edit tracks, control plugins, fire clips, edit MIDI notes, capture audio — all through natural language.
An MCP server for parsing and analyzing Ableton Live .als project files offline, enabling queries about tempo, tracks, clips, and MIDI data through tools like als_summary and als_list_tracks.
Access 400+ generative AI models directly from your AI assistant — generate images (FLUX, Midjourney, GPT-4o), create videos (Veo3, Kling), make music (Suno), and enhance photos, all via a single MCP server.
Connect your Alice recordings and transcripts to the AI tools you already use — Claude, ChatGPT, Gemini, Grok, Perplexity, and any other MCP-compatible client.
The Alice MCP Server turns your secure voice archive into a queryable knowledge base. Search across hundreds of hours of recordings, retrieve full transcripts, surface insights, and automate workflows — all with natural language.
AI copilot for Ableton Live 12 — 104 MCP tools for music production, sound design, and mixing.
Talk to your DAW. Create tracks, program MIDI, load instruments, tweak parameters, arrange songs, and mix — all through natural language. LivePilot connects any MCP-compatible AI client (Claude, Cursor, VS Code Copilot) to Ableton Live and gives it full control over your session.
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.
A Docker-containerized MCP proxy that provides AI image generation, text generation, vision analysis, and text-to-speech capabilities through REST endpoints using Pollinations AI services. Enables multimodal AI interactions including image creation, transformation, OCR, and audio generation through standard HTTP APIs.
Enables asking questions about image, audio, or video files using state-of-the-art multimodal models. Powered by fal.ai for advanced media analysis and understanding capabilities.
Enables transcription of audio files using Google Gemini AI and creates a searchable knowledge base, allowing users to ask natural language questions about content in meetings, podcasts, lectures, and other audio recordings.