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  1. Home
  2. 🎥 Multimedia Process
  3. Cochlea
Cochlea logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 1:45:51 PM

Cochlea

User RatingsBe the first to rate and review this MCP server!
View Repository14 GitHub StarsTotal stargazers on GitHub for the source repository (14 stars).
audiomultimediasignal-processingdeveloper-tools

Offline audio rendering and analysis with deterministic PCM output, reports, spectrograms, verification, and render comparisons.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON â–¾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for richer-richard/cochlea, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🎥 More in Multimedia Process

Overview

The richer-richard/cochlea MCP server provides an offline, deterministic audio engine for composing, rendering, analyzing, and verifying audio. It works with score data or existing audio, producing PCM renders, JSON or text reports, spectrograms, and comparisons between renders. Analysis includes loudness, pitch, tempo, key, rhythm, onsets, stereo properties, structure, silence, and clipping. Reach for it when an agent needs to inspect or validate audio without an audio device, ffmpeg, or raw PCM in its context.

Use cases

•Render score data into deterministic WAV files
•Analyze existing audio with compact JSON reports
•Verify pitch, peak, automation, and silence constraints
•Generate spectrograms for agent inspection
•Compare two audio renders for differences

Key features

•Offline deterministic PCM rendering
•Audio reports with loudness, pitch, tempo, and key
•Spectrogram and contact-sheet generation
•Score assertion verification
•Render diffing with optional spectrogram output
•WAV, FLAC, MP3, and OGG probing

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Cochlea.

Extracted Tool Capabilities
Offline deterministic PCM rendering
Audio reports with loudness, pitch, tempo, and key
Spectrogram and contact-sheet generation
Score assertion verification
Render diffing with optional spectrogram output
WAV, FLAC, MP3, and OGG probing

How Cochlea works

What richer-richard/cochlea MCP server does

The richer-richard/cochlea MCP server is designed for agent-driven audio workflows that need measurable results instead of subjective listening. It can turn a score into deterministic PCM, inspect an existing audio file, create visual spectrograms, and check whether a rendered result meets assertions embedded in the score.

Scores can be authored as RON data or through the Rust builder API. A score may define sample rate, timing resolution, tempo, tracks, instruments, notes, and parameter automation. Rendered output can be written as WAV audio, with optional stems and verification.

For audio review, the tool reports values such as integrated loudness, true peak, loudness range, onset timing, estimated pitch, melody events, key, tempo candidates, rhythm alignment, stereo width and correlation, structure, silence, and clipping. Reports can be emitted as JSON, while digest output provides a compact text summary suitable for a limited context window.

How it works

A typical workflow is compose, render, probe, inspect, and verify. Rendering converts the score to offline PCM. Probing reduces an audio file to structured measurements, and spectrogram generation creates an image for cases where numeric data is not enough. Verification evaluates conditions such as peak limits, pitch agreement, parameter monotonicity, and expected silence.

The richer-richard/cochlea MCP server supports time windows for read operations. A caller can focus on a precise section of a longer file, with frame-exact boundaries and timing reported relative to the selected region. Spectrograms can also be tiled into contact sheets, and annotations can show beats, onsets, and pitch.

The command-line examples also cover importing Standard MIDI Files into score data, transcribing audio into a score, linting scores, and comparing two renders. Render comparison can include a second analysis tier and a spectrogram of the difference.

Setup and configuration

The supplied setup instruction is:

text
cargo install cochlea-mcp

The material describes the engine as fully offline. No API key, hosted service, audio device, or ffmpeg installation is specified. The README shows command-line usage through the cochlea executable, including commands for rendering, probing, spectrogram generation, linting, importing, transcription, and diffing.

Tools and capabilities

The richer-richard/cochlea MCP server supports:

  • Rendering score data to deterministic PCM and WAV output.
  • Writing separate stems during rendering.
  • Probing WAV, FLAC, MP3, and OGG input without ffmpeg.
  • Producing JSON reports or compact digest summaries.
  • Measuring loudness, peaks, pitch, melody, tempo, key, rhythm, stereo, structure, silence, and clipping.
  • Generating spectrograms, annotated views, and tiled sheets.
  • Comparing two renders and exporting a spectrogram of their difference.
  • Verifying score assertions and returning failure through the command result.
  • Importing MIDI and transcribing audio into score data.

Limitations and notes

The engine is headless: it does not use an audio device, and the documented workflow does not ask an agent to listen to PCM directly. Analysis results are estimates or measurements, so reports include confidence or stability fields where applicable, such as for key and tempo detection.

The richer-richard/cochlea MCP server is intended for deterministic, inspectable processing. The provided material does not document hosted access, client-specific configuration, authentication settings, or environment variables. It also does not establish that every input format is supported for rendering; the broader format list is specifically documented for probing.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
14
Stargazers on the source repository.
Last commit
28d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Cochlea

The provided setup instruction is `cargo install cochlea-mcp`.

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Technical Specs & Signals

Category🎥Multimedia Process
PricingFree
More technical detailsExpand â–¾
AuthNo auth required
LicenseMIT
Last updatedSep 7, 2026
5/6 checks healthy over the last 32d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars14
GitHub Star CountTotal stargazers on GitHub representing community popularity (14 stars).
Last commit28d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 14, 2026
49Quality signal: Fair · 49/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools21/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 🎥 Multimedia Process →Best MCP servers for Multimedia & Media Processing →Alternatives to Cochlea →Install in Claude DesktopInstall in CursorInstall in VS Code