"All items" 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 any MCP client to start, poll, and stop microphone recordings from within a conversation, returning the accumulating transcript on demand. All transcription runs locally on-device, so no audio leaves the machine.

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.

Local-first CLI + MCP server for meeting recordings - Whisper transcription,

Enables Claude to capture both sides of macOS calls and meetings from apps like WhatsApp, Teams, Zoom, and browsers as aligned microphone and system-audio tracks, then transcribe them locally with Whisper. Supports speaker separation, custom vocabulary, and importing existing audio or video files, with everything processed on-device so no audio leaves the Mac.

An MCP server that enables users to control and edit REAPER projects through a Python-based interface and a Lua bridge. It supports managing tracks, controlling transport, manipulating MIDI and audio items, and adjusting FX parameters within the digital audio workstation.

Connects any MCP-compatible AI assistant to Audacity, providing 132 tools for real-time audio editing, cleanup, mastering, and transcription — all running locally without cloud dependencies.

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.

Enables MCP clients to control playback and queues, search and discover tracks, manage saved items and followed artists, and perform bulk playlist edits, including dry-run previews for destructive operations.

Enables MCP-capable agents to submit and retrieve audio transcriptions, apply speech understanding such as translation, speaker identification, summaries and action items, and enforce guardrails including PII redaction and content moderation.

Enables AI assistants to inspect and edit an Ableton Live set in real time, including tracks, devices, parameters, clips, MIDI, and undo-safe changes, with guardrails such as all-or-nothing validation and optional read-only mode.

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.

Enables an AI to watch videos by sampling frames, reading on-screen subtitles via OCR, transcribing speech, and analyzing audio levels and spectra, all locally in pure Python.

Enables call-recording upload and retrieval, compliance metadata and tag management, group/account/user administration, REST-hook (webhook) notifications, and Dub.Point telecom-system integration against the Dubber platform. All destructive operations are consent-gated and confirmation-protected.

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 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 Claude to discover available engines and voices, generate narration from text, monitor generation jobs, download finished audio, and run voice evaluations, all against a local on-device service.

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

Enables Claude to co-produce music in a self-hosted browser DAW by creating and editing patterns, chords, basslines and melodies, arranging and automating tracks, mixing with effects and spatial placement, analyzing and editing samples, rendering mixes with mastering feedback, and exporting MIDI and stems — all reflected live in the studio.

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.

Converts text summaries to speech using OpenAI's TTS API and plays them in the background across all major platforms.

Enables AI assistants to search meeting transcripts, retrieve speaker-attributed quotes, decisions, and action items, and transcribe new files or links directly from the QuillHub archive.

MCP server for audio transcription with speaker diarization. Transcribes MP3/WAV files using Faster-Whisper and pyannote.audio, outputs markdown with speaker labels, timestamps, summaries, and action items.

Enables agents to inspect local audio files' metadata, convert between common formats, trim segments, and normalize loudness through ffmpeg/ffprobe, plus transcribe audio via a user-configured local transcription command. All processing runs on local binaries, returning real tool output or errors rather than fabricated results.

Enables AI agents to generate narration in a single fixed, pre-approved voice, returning audio with per-line timing, hashes, and automatic quality checks on content, speaker identity, and pace, all locally and reproducibly.

Lets any MCP client search and browse the Apple Music catalog, manage library items, playlists and folders, and control playback and the Up Next queue through natural language. It works across macOS, Windows and Linux by picking among native Music.app, Safari, Chrome and the Apple Music API engines, needing only a Mac or an Apple Music subscription.