"All About Docker" matching MCP servers:

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

Official AllVoiceLab Model Context Protocol (MCP) server, supporting interaction with powerful text-to-speech and video translation APIs.

Enables transcription, summarization, and action item extraction from audio files on your Mac using MacWhisper and Claude Desktop, all locally without any cloud APIs.

Local multimodal MCP server for vision, document, audio, video, and GUI automation, all processed locally on Apple Silicon for privacy and security.

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.

An MCP server for OBS Studio that subscribes to events and maintains a history, enabling queries about audio levels, source states, and past actions rather than only one-shot requests.

An MCP server that enables AI assistants to search, analyze, and retrieve information about audio samples from Freesound.org through their API.

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.

Gives an agent a full video editing room: import footage, cut and order shots, add captions and audio, composite, replace screens via SAM2, render, and export in multiple formats, all locally in Docker with no API key required.

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.

A Model Context Protocol server that lets your AI download YouTube audio and search videos, powered by yt-dlp and ffmpeg, shipped as a Docker image.

Enables a coding agent to see and hear the host machine via webcam stills, microphone speech-to-text, and optional text-to-speech replies, all processed locally.

Enables AI agents to enroll and verify voice samples against known identities, providing honest confidence signals about voice authenticity.

Enables cloning a voice from a local audio or video file and generating shareable audio-reactive waveform MP4 videos of spoken text, with customizable palettes, photos, and layouts, all through natural language from MCP-aware agents.

Local podcast transcription, embedding, and semantic search with an MCP server for AI assistant integration. All processing runs on your machine.

Enables AI agents to perform comprehensive audio processing—stem separation, analysis, transcription, restoration, speech processing, and generation—through a unified self-hosted API with asynchronous jobs and webhooks.

MCP server for local file conversion, analysis, and image processing across 44 formats with 7 tools, all processed locally.

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.

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.