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AWS Bedrock Data Automation vs experiment-tracker

experiment-tracker is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.

AWS Bedrock Data Automation is an MCP server published by awslabs. Marketplaces we read that list it: 1 (Docker MCP Catalog). experiment-tracker is a plugin bundle for AI coding tools published by barnburner121. No marketplace we read lists it any more. As of our marketplace pass on 2026-10-30. 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 Automationexperiment-tracker
Docker MCP Catalog Listed
Version: sha256:ca5c8e3d1bf0
Forks (GitHub): 1 835
Pulls (Docker Hub): 14 828
Stars (Docker Hub): 0
Stars (GitHub): 9 848
Not marked · First seen
Not listed
Community marketplace barnburner121/claude-plugin-marketplace Not listed Removed on 2026-10-18
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 3
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 experiment-tracker
FactAWS Bedrock Data Automationexperiment-trackerno longer listed ·
Marketplaces that list it (differs)10
Stars (GitHub) (differs)9 8483
Pulls (Docker Hub) (differs)14 828No figure on Docker Hub
Forks (GitHub) (differs)1 8350
Last releaseNot publishedNot published
Where it runs (differs)On your machine (mcp/aws-bedrock-data-automation-mcp-server)On your machine (@barnburner121/plugin-hub-mcp)
Transport (differs)stdioNot stated
Tools it declares (differs)3Not published
Environment variables it asks for (differs)3, secrets among them: 0Not published
Parts of the bundle (differs)Not a bundle2
Licence (differs)Apache-2.0MIT
Repository (differs)github.com/awslabs/mcpgithub.com/barnburner121/claude-plugin-marketplace
Changes in the last 7 days00
First seen (differs)2026-10-112026-10-14

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 experiment-tracker

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

  • MLflow Skills

    Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.

    by mlflow · Plugin bundle

    Listed on: Claude Code: claude-plugins-official · Describes nearly the same job

  • machine-learning-ops

    ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows

    by Seth Hobson · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • machine-learning-ops

    ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows

    by Seth Hobson · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • ml-research

    Machine learning experiments, training, evaluation and reproducible papers.

    by Kalaris Labs · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • superml

    ML engineering plugin: Give your AI coding agent ML engineering superpowers.

    by Leeroo Dev Team · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • cmf

    Agent skills for CMF — instrument ML pipelines, track artifacts, sync metadata, and query lineage

    by Hewlett Packard Enterprise · Plugin bundle

    Listed on: Community GitHub marketplaces · 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.

experiment-tracker

In its own words, on Community GitHub marketplaces:

Generate ML experiment tracking with MLflow

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

experiment-tracker

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 experiment-tracker publish no list of tools, so we do not compare tools.

Settings each asks for

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

What it can do: AWS Bedrock Data Automation · What it can do: experiment-tracker · 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