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Comparison

experiment-tracker vs io.github.us-all/mlflow

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

experiment-tracker is a plugin bundle for AI coding tools published by barnburner121. No marketplace we read lists it any more. io.github.us-all/mlflow is an MCP server published by us-all. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-29. 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
Marketplaceexperiment-trackerio.github.us-all/mlflow
Community marketplace barnburner121/claude-plugin-marketplace Removed on 2026-10-18
Version: 1.0.0
Forks (GitHub): 0
Stars (GitHub): 3
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 1.12.7
Downloads/month (npm): 154
Downloads/week (npm): 58
Forks (GitHub): 0
Stars (GitHub): 1
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

experiment-tracker vs io.github.us-all/mlflow
Factexperiment-trackerno longer listed · io.github.us-all/mlflow
Marketplaces that list it (differs)01
Stars (GitHub) (differs)31
Forks (GitHub)00
Last releaseNot publishedNot published
Where it runs (differs)On your machine (@barnburner121/plugin-hub-mcp)On your machine (@us-all/mlflow-mcp)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)Not published8, secrets among them: 2
Parts of the bundle (differs)2Not a bundle
Licence (differs)MITNot stated
Repository (differs)github.com/barnburner121/claude-plugin-marketplacegithub.com/us-all/mlflow-mcp-server
Changes in the last 7 days00
First seen (differs)2026-10-142026-10-11

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

experiment-tracker

In its own words, on Community GitHub marketplaces:

Generate ML experiment tracking with MLflow

io.github.us-all/mlflow

In its own words, on Official MCP Registry:

MLflow MCP — experiments, runs, registered models, versions, traces, assessments (MLflow 3)

How to run each

experiment-tracker

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

io.github.us-all/mlflow As a local MCP server: npm package

Claude Code
claude mcp add --env "MLFLOW_TRACKING_PASSWORD=<YOUR_MLFLOW_TRACKING_PASSWORD>" --env "MLFLOW_TRACKING_TOKEN=<YOUR_MLFLOW_TRACKING_TOKEN>" --env "MLFLOW_TRACKING_URI=<YOUR_MLFLOW_TRACKING_URI>" --transport stdio mlflow -- npx -y @us-all/mlflow-mcp

Requires: MLFLOW_TRACKING_PASSWORD (secret), MLFLOW_TRACKING_TOKEN (secret), MLFLOW_TRACKING_URI

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

Tools each declares

Neither one's marketplaces publish a list of tools, so there is nothing to compare.

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: experiment-tracker · What it can do: io.github.us-all/mlflow · Compare two other plugins

Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. 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