AWS Bedrock Data Automation vs Audio MCP
AWS Bedrock Data Automation is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). Audio MCP is an MCP server published by mshark1. Marketplaces we read that list it: 2 (Official MCP Registry, PyPI (MCP servers)). As of our marketplace pass on 2026-10-27. This pair was picked by a reader, not by our comparison rule, so search engines are asked not to index the page.
Where each is published
| Marketplace |  AWS Bedrock Data Automation |  Audio MCP |
|---|---|---|
| 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 |
| Official MCP Registry | Not listed | Listed Version: 0.4.0 Downloads/month (PyPI): 0 Downloads/week (PyPI): 218 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
| PyPI (MCP servers) | Not listed | Listed Version: 0.4.0 Downloads/month (PyPI): 0 Downloads/week (PyPI): 218 Forks (GitHub): 0 Stars (GitHub): 0 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
| Fact | AWS Bedrock Data Automation | Audio MCP |
|---|---|---|
| Marketplaces that list it (differs) | 1 (worse) | 2 (better) |
| Stars (GitHub) (differs) | 9 835 (better) | 0 (worse) |
| Pulls (Docker Hub) (differs) | 14 665 | No figure on Docker Hub |
| Forks (GitHub) (differs) | 1 830 (better) | 0 (worse) |
| Last release (differs) | Not published | 2026-10-17 |
| Where it runs (differs) | On your machine (mcp/aws-bedrock-data-automation-mcp-server) | On your machine (audio-mcp) |
| Transport | stdio | stdio |
| Tools it declares (differs) | 3 | Not published |
| Environment variables it asks for (differs) | 3, secrets among them: 0 | 2, secrets among them: 0 |
| Licence (differs) | Apache-2.0 | MIT |
| Repository (differs) | github.com/awslabs/mcp | github.com/mshark1/audio-mcp |
| Changes in the last 7 days (differs) | 0 | 1 |
| First seen (differs) | 2026-10-11 | 2026-10-13 |
Lines where the two differ have a tinted background and bold values. Where the data itself says which value is better (more marketplaces, a larger figure of the same marketplace, a fresher release, a verified mark on a marketplace that lists both), the better one is also marked green with ▲ and the worse one red with ▼. Where it runs, the transport, the tools, the settings, hooks, the bundle's parts, the licence and the week's changes are marked only as different: more or fewer is not better in itself.
What each says it does
AWS Bedrock Data Automation
Analyze documents, images, videos, and audio.
Audio MCP
Audio perception for AI agents: measure, see, compare, edit and synthesize sound locally.
How to run each
AWS Bedrock Data Automation As a local MCP server: Docker image
claude mcp add --transport stdio aws-bedrock-data-automation -- docker run -i --rm mcp/aws-bedrock-data-automation-mcp-serverAudio MCP As a local MCP server: PyPI package
claude mcp add --transport stdio audio-mcp -- uvx audio-mcpCommands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of Audio MCP publish no list of tools, so we do not compare tools.
Settings each asks for
Only AWS Bedrock Data Automation asks for
AWS_BUCKET_NAMEAWS_PROFILEAWS_REGION
Only Audio MCP asks for
AUDIO_MCP_ALLOWED_DIRSAUDIO_MCP_MAX_SECONDS
Settings as each marketplace publishes them. Asking for fewer is not better in itself.
What it can do: AWS Bedrock Data Automation · What it can do: Audio MCP · Compare two other plugins
Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Package data comes from the Python Package Index (pypi.org). Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.