"Search for information about 'daw' (Digital Audio Workstation)" matching MCP servers:

Enables AI agents to build songs by editing a JSON song model: searching a licence-tagged sample library, adding step-pattern and time-stretched loop tracks, setting gain/pan, describing songs, and rendering them to 44.1 kHz WAV/MP3 with release-safety warnings. Songs and renders are read from and written to a project root, so an agent can go from empty project to finished track through MCP tool calls.

Enables headless offline audio processing through MCP tools for rendering stems, analyzing audio and masking, auto-mixing, applying EQ/compression, mastering, comparing references, and running release checks. It works on local audio files without a DAW window, audio interface, GPU, model download, or cloud account.

Editing, analyzing and processing audio files without ffmpeg.

Audio perception for AI agents. Measure loudness, clipping, noise and pitch; view spectrograms; split audio into events; transcribe speech; compare before/after; and clean up, edit or synthesize sound. Runs locally, no API keys.

MCP server for Bumi Digital that enables AI image, video, and audio generation and upscaling directly from MCP-compatible assistants like Claude Desktop and Cursor.

A mock-first MCP server for audio generation that creates placeholder WAV files locally, enabling development and testing of audio workflows without APIs or costs.

An interactive digital audio workstation as an MCP server, enabling music production with a channel rack, piano roll, mixer, effects, automation, microphone recording, and offline WAV rendering.

MCP server that enables audio transcription from files (wav, mp4, mp3, flac) or microphone recording, with dynamic tool selection and enterprise-grade security.

Local MCP server for macOS that captures microphone input and/or system audio output into explicit, user-defined sessions and exposes the raw WAV audio to AI agents through MCP tools.

Enables Claude AI to generate professional, production-ready MIDI files (chord progressions, drum patterns, bass lines, melodies, and full arrangements) compatible with any DAW including Logic Pro, Ableton Live, FL Studio, and more.

Enables AI-powered music production by integrating with REAPER DAW via MCP protocol, allowing users to control project settings, MIDI editing, and VST plugins through natural language.

Captures and transcribes system audio in real-time using OpenAI Whisper, enabling meeting transcription, content creation, and accessibility through natural language.

An MCP server that masters audio with a professional signal chain using ffmpeg, enabling loudness analysis, vocal-over-beat mixing, full mastering to target LUFS, and Dolby codec export.

MCP server that analyzes TTS audio recordings, providing transcription, quality scoring, pacing analysis, and mispronunciation detection to debug voice call center audio.

Enables comprehensive audio file analysis and metadata extraction with specialized game audio development features, supporting batch processing of multiple formats and providing platform-specific optimization recommendations.

Gemini Audio MCP is a high-performance Model Context Protocol (MCP) server that leverages the power of the Gemini 2.0 Multimodal Live API to generate high-fidelity, environmental soundscapes on-demand.

Enables Claude Code to fetch and transcribe YouTube audio stories, validate rewritten scripts, render Vietnamese TTS segments, and assemble a final MP3.

Enables an agent to inspect an audio folder and report what is inside each file — duration, sample rate, channels, codec and bitrate — and to group byte-identical files, identical decoded audio stored in different containers, and near-duplicate candidates, with suggested keeps and explicit differences, all read-only.

Enables batch audio processing and optimization using FFmpeg with preset configurations for game audio, voice processing, and music mastering, including specialized optimization for ElevenLabs AI voice output.

Enables AI-powered game audio creation for Unreal Engine 5.7, integrating Wwise, MetaSounds, and Blueprint through MCP tools to generate DSP graphs, sound systems, and trigger logic.

Enables audio file analysis using Google's Gemini multimodal models with support for additional context and system instructions to guide the model's behavior.

Enables local-first, cross-platform audio calibration workflows combining REW-guided measurement, conservative EQ analysis, DSP export/apply adapters, and measured post-change verification.

A voice-to-text transcription service that converts audio files to transcripts using SiliconFlow, supporting both multipart/form-data and base64 formats.

Enables text-to-speech conversion with smart language detection (using Google TTS for Chinese) and audio file playback with playback controls for Claude Desktop.

Enables audio transcription, intelligent splitting, and meeting analysis for MCP-compatible clients like Claude Desktop.

Enables MCP clients such as Claude Desktop, Cursor, and Cline to synthesize speech and singing with natural-language pitch and emotion tags, search and switch character voices and engine models, and transcribe audio through the Fish Audio API.

Enables chat-driven audio analysis and enhancement using local Claude, including denoising, EQ, compression, and loudness normalization, with an A/B viewer for synchronized comparison.

Enables local, CPU-only audio post-production through tools for denoising, LUFS loudness normalization, silence removal, format conversion, pitch shifting, and speed changes. Supports podcast and video platform loudness compliance workflows.

Enables text-to-speech, voice cloning, audio generation, and transcription using Kokoro TTS and Whisper STT.

A portable, Dockerized Python tool that implements Model Context Protocol for audio transcription using Whisper models, featuring both CLI and web UI interfaces for converting audio files to JSON transcriptions.