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AWS Bedrock Data Automation vs autosound-tuning

autosound-tuning is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑26.

AWS Bedrock Data Automation is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). autosound-tuning is a plugin bundle for AI coding tools published by ayukhno. No marketplace we read lists it any more. As of our marketplace pass on 2026-10-27. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.

Where each is published

Where each is published
MarketplaceAWS Bedrock Data Automationautosound-tuning
Docker MCP Catalog Listed
Version: sha256:ca5c8e3d1bf0
Forks (GitHub): 1 830
Pulls (Docker Hub): 14 665
Stars (Docker Hub): 0
Stars (GitHub): 9 835
Not marked · First seen
Not listed
Community marketplace ayukhno/autosound-tuning-skill Not listed Removed on 2026-10-26
Version: 3.2.0
Forks (GitHub): 3
Stars (GitHub): 10
Not marked · First seen

Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.

The facts side by side

AWS Bedrock Data Automation vs autosound-tuning
FactAWS Bedrock Data Automationautosound-tuningno longer listed ·
Marketplaces that list it (differs)10
Stars (GitHub) (differs)9 83510
Pulls (Docker Hub) (differs)14 665No figure on Docker Hub
Forks (GitHub) (differs)1 8303
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/aws-bedrock-data-automation-mcp-server)Installs as a plugin bundle
Transport (differs)stdioNot stated
Tools it declares (differs)3Not published
Environment variables it asks for (differs)3, secrets among them: 0Not published
Hooks it runs (differs)Not published1
Parts of the bundle (differs)Not a bundle4
Licence (differs)Apache-2.0CC-BY-SA-4.0
Repository (differs)github.com/awslabs/mcpgithub.com/ayukhno/autosound-tuning-skill
Changes in the last 7 days (differs)04
First seen (differs)2026-10-112026-10-15

Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.

What to use instead of autosound-tuning

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

  • phantom

    AI audio engineering system that turns Claude into a professional mix and mastering engineer. Point it at stems or a full mix, give it a reference track you want to sound like…

    by fadelabs · Plugin bundle

    Listed on: Claude Code: claude-plugins-community, Community GitHub marketplaces · Describes nearly the same job

  • Audio MCP

    Audio perception for AI agents: measure, see, compare, edit and synthesize sound locally.

    by mshark1 · MCP server

    Listed on: Official MCP Registry, PyPI (MCP servers) · Describes nearly the same job

  • MirrorEdge AI: Waves

    Let your assistant see your recording's spectrogram, box the noise, and heal only that.

    by MirrorEdgeAI · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • REAPER MCP

    Enables AI assistants to control REAPER for mixing, mastering, MIDI and music production.

    by twelvetake.com · MCP server

    Listed on: Official MCP Registry, PyPI (MCP servers) · Describes nearly the same job

  • Ableton for AI

    Bridge between Ableton Live and AI. Inspect, analyze audio, and control mixing via MCP.

    by peterkolbe · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • Audo

    Audio and video tools for your AI assistant: remove noise, enhance voices, transcribe, and more.

    by audo.ai · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

AWS Bedrock Data Automation

In its own words, on Docker MCP Catalog:

Analyze documents, images, videos, and audio.

autosound-tuning

In its own words, on Community GitHub marketplaces:

Tune a car-audio DSP with REW — intake → crossovers → time alignment → phase → EQ → imaging → taste voicing, via a Generator-Critic-Arbiter review loop. Any car, any DSP. Bundles the review-loop method (independent multi-AI review + anti-anchoring).

How to run each

AWS Bedrock Data Automation As a local MCP server: Docker image

Claude Code
claude mcp add --transport stdio aws-bedrock-data-automation -- docker run -i --rm mcp/aws-bedrock-data-automation-mcp-server

autosound-tuning

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

Commands built only from what the marketplaces declare; the full set for every client is on each card.

Tools each declares

The marketplaces of autosound-tuning publish no list of tools, so we do not compare tools.

Settings each asks for

The marketplaces of autosound-tuning publish no settings it asks for, so we do not compare settings.

What it can do: AWS Bedrock Data Automation · What it can do: autosound-tuning · Compare two other plugins

Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.

Where the data comes from: how the catalog is built