"Understanding and Using JSON" matching MCP servers:

Enables local video inspection and offline transcription with timestamped JSON and Markdown output, enforced filesystem boundaries, and reproducible content-addressed caching.

Enables LLMs to analyze music (genre, mood, tempo, key), separate audio stems, detect AI-generated music, and measure loudness using IRCAM Amplify's audio processing APIs.

Enables agents to search loudspeaker drivers, retrieve Thiele/Small parameters, design sealed or vented boxes, and simulate SPL, impedance, and excursion responses using the OpenISD physics engine.

Discover audio and LLM services, compare seven voices, and check prices for free. Generate speech, transcribe audio and request LLM text with optional capped USDC payments on Base; voice-cloning requirements are also available.

Enables creating, inspecting, validating, and rendering NES FamiStudio .fms projects from plain JSON without a GUI.

Renders Ready Player Me avatars with phoneme-based lip-sync from audio using Remotion and React Three Fiber.

Enables AI-assisted music creation and management with Suno V6 via Kie.ai, offering generation, extension, cover creation, persona handling, and download tools through a zero-dependency stdio JSON-RPC interface.

Enables MCP-compatible AI assistants to control Audacity 4 locally for audio editing, effects, VST3 plugins, and cleanup pipelines via a TCP JSON-RPC bridge, with no cloud or API keys.

Enables AI agents to analyze, summarize, and extract text from videos and images using the Qwen3-VL-8B-Instruct model deployed on Blaxel. It supports media analysis via URL, including video Q\&A and speech transcription capabilities.

A server that generates MP3 audio files from text using Kokoro TTS technology with optional S3 upload capabilities.

Downloads YouTube audio and transcribes it locally using faster-whisper, saving transcripts as Markdown and JSON files for Obsidian and Hermes ingestion.

Enables downloading videos from platforms like YouTube and converting them to text using OpenAI Whisper and ffmpeg. It supports multiple output formats including TXT, JSON, SRT, and VTT for transcriptions.

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 LLMs to compose VCV Rack modular synth patches by generating plain JSON, with tools for patch creation, catalog search, and live OSC control.

Lets AI assistants control a NUX MG-30 guitar processor over USB MIDI by picking amp, cab, drive, modulation, delay and reverb models, toggling blocks, and setting knobs by name. It can also read, save, rename, back up and restore presets on the device, and apply whole tone recipes from JSON patch files.

Enables AI assistants to convert text to high-quality speech audio using MeloTTS. Automatically splits long texts into segments, generates WAV files, and merges them using ffmpeg with support for multiple languages and customizable speech parameters.

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

Enables recording audio from a microphone and transcribing it using OpenAI's Whisper model. Works as both a standalone MCP server and a Goose AI agent extension.

Provides audio inspection, conversion, processing, and generation capabilities via SoX, enabling AI agents to 'hear' and manipulate audio files through structured JSON interfaces.