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MCP server · Music

Cochlea MCP server

by richer-richard

Let your AI create, render, and inspect audio files, then check the sound with numbers and pictures.

Flow diagram: you ask your AI “Turn this tune into a WAV and tell me how loud it is”, the Cochlea MCP server works in steps: writes the audio, then listens to the sound, then draws a picture, and you get back A file plus a short report.

Cochlea is a tool for making and studying audio without ever pressing play. You describe a piece of music as plain text, and Cochlea turns it into a real audio file, then measures what came out. It is handy if you work with sound, jingles, or audio checks and want your AI to handle the boring parts.

What is an MCP server? The 30-second version

On its own, your AI can only chat. An MCP server is a small helper program that gives your AI a new skill or a connection to another tool. This one connects your AI to Cochlea, an audio engine that runs on your own computer. Once it is connected, you can ask your AI to make an audio file or measure one, and it will use Cochlea to do the actual work.

What this MCP server does

You ask your AI for something audio related, like rendering a short tune or checking how loud a file is. The AI sends that request to Cochlea through this helper. Cochlea writes the audio file, or opens the file you pointed at and studies it. Then it sends back numbers, a short text report, or a picture of the sound. Your AI reads that and tells you what it found.

Flow diagram: you ask your AI “Turn this tune into a WAV and tell me how loud it is”, the Cochlea MCP server works in steps: writes the audio, then listens to the sound, then draws a picture, and you get back A file plus a short report. Click to zoom

What you can do with it

  • Render a music score you describe as text into a WAV file
  • Measure loudness, pitch, tempo, and key of any audio file
  • Draw a spectrogram picture of a sound so you can see it
  • Compare two audio files and show what changed between them
  • Import a MIDI file and turn it into an editable score
  • Turn a recorded solo into a score file
  • Check a score for mistakes before you render it

Try asking your AI

  • “Render this score to mix.wav and tell me the loudness”
  • “Probe my recording.wav and give me the tempo and key”
  • “Make a spectrogram of bars 17 to 19 of this file”
  • “Compare old_mix.wav and new_mix.wav and tell me what changed”

What it gives back to you

You get back short reports with numbers like loudness, tempo, key, and note names. For a spectrogram, you get a small picture right in the chat. For a render, you get a file saved on your computer plus a confirmation. Everything is written in plain text you can read.

Before you start

What you need

  • The Rust tool installer (called cargo), from rustup.rs
  • The Cochlea MCP server installed with cargo install cochlea-mcp
  • An MCP client like Claude Desktop or Claude Code

Good to know

It reads and writes files on your computer, so point it at a folder you are happy for it to work in, and use the --root option if you want to keep it contained.

Install it with your AI

Add Cochlea MCP server to your AI, no technical skills needed

You don't install anything by hand. You copy one prompt, paste it into an AI that can work on your computer, and it checks, installs and connects the server for you, asking you when it needs something.

Sign in to get the install prompt

Members get a ready-made prompt that lets the Claude desktop app check Cochlea MCP server, install it and connect it for them, step by step. You don't need any technical skills: you copy, paste and answer a few questions. Your connected AI can also find and install any of the 4,066 MCP servers here for you.

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Who it's for

People who work with audio, like sound designers, music makers, podcast editors, or anyone who needs to check or create audio files without listening to them.