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

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

Enables MCP clients to drive developer workflows through APIs and CLIs, with explicit workspace or trusted-workstation launch modes, bounded command previews, multi-repository rules discovery, and an on-demand skills/recipes entry point. It lets agents review changes, run commands, and load only the smallest relevant rule or skill while reporting evidence and unverified steps.

A stdio MCP server that controls VMware Workstation via vmrun, enabling VM lifecycle management and snapshot operations.

MCP server for 34 embeddable pixel-art digital fireplaces. Enables listing fireplace styles, retrieving HTML/embed codes, and getting recommendations based on mood or tags.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

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.

Enables AI assistants to query your local browsing history using keyword search, RAG Q&A, and activity stats.

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.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables an AI to build, inspect, test, and render logic circuits as .dig files, then open them in the Digital app.

Enables MCP clients to control a running Unreal editor through its local bridge socket, exposing world, blueprint, material, media, vision, pipeline, and status tools. It resolves class names, verifies writes by reading them back, caps ordered pipelines, and reports unreachable or partial results instead of silently succeeding.

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

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.

An MCP server that lets AI agents search YouTube and YouTube Music, download individual tracks as tagged MP3s with embedded cover art, and list previously downloaded files.

Exposes digital twin device data capabilities as MCP tools, allowing MCP clients to query device status, read real-time metrics, fetch time-series data, and check alerts. Includes a simulated PLC driver with a clean interface for connecting real devices via OPC-UA, Modbus, or gateway APIs.

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.

MCP server for creating and managing digital human models with built-in EU AI Act compliance, part of the MEOK AI Labs ecosystem.

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 AI models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. It provides tools for comparing audio iterations and detecting patterns using token-efficient analysis operations.

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 playback control of local audio files through a virtual audio output device, supporting play, stop, and status queries with configurable root directory and path safety enforcement.

Enables MCP clients to synthesize local speech, emotional narration, reference-timbre cloning, and singing from text or phoneme/MIDI/duration inputs using installed VoxCPM2 and SoulX-Singer models.

Enables researchers to query and reconcile taxonomic data from the Lacewing Digital Library and Neuropterida Species of the World, including accepted names, type localities, distributions, references, and phylogeny records.

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