"A tool to capture audio and convert an oral account into a medical history" matching MCP servers:

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.

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.

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.

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

A server that allows Claude to control audio playback on your computer, supporting MP3, WAV, and OGG files with features like play, list, and stop commands.

AI-powered music production toolkit enabling AI agents to generate, remix, separate stems, master tracks, and control DAWs via MCP.

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.

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.

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 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.

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.

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.

A MCP server that enables transcription of audio files using OpenAI's Speech-to-Text API, with support for multiple languages and file saving options.

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.