Comparison

Zen vs sklearn-pipeline

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

Zen is an MCP server published by BeehiveInnovations. Marketplaces we read that list it: 1 (Docker MCP Catalog). sklearn-pipeline 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 2026-10-26. 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
Marketplace	Zen	sklearn-pipeline
Docker MCP Catalog	Listed Version: sha256:02cbe1d325db Forks (GitHub): 1 037 Pulls (Docker Hub): 35 235 Stars (Docker Hub): 0 Stars (GitHub): 11 812 Not marked · First seen 2026-10-11	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 2026-10-14

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

Zen vs sklearn-pipeline
Fact	Zen	sklearn-pipelineno longer listed · 2026-10-18
Marketplaces that list it (differs)	1	0
Stars (GitHub) (differs)	11 812	3
Pulls (Docker Hub) (differs)	35 235	No figure on Docker Hub
Forks (GitHub) (differs)	1 037	0
Last release	Not published	Not published
Where it runs (differs)	On your machine (mcp/zen)	On your machine (@barnburner121/plugin-hub-mcp)
Transport (differs)	stdio	Not stated
Tools it declares (differs)	18	Not published
Environment variables it asks for (differs)	4, secrets among them: 4	Not published
Parts of the bundle (differs)	Not a bundle	2
Licence (differs)	NOASSERTION	MIT
Repository (differs)	github.com/beehiveinnovations/zen-mcp-server	github.com/barnburner121/claude-plugin-marketplace
Changes in the last 7 days	0	0
First seen (differs)	2026-10-11	2026-10-14

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 sklearn-pipeline

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

probabl-skills

Skills to support Machine Learning experimentation using the Python ecosystem.

by probabl-ai · Plugin bundle

Listed on: Claude Code: claude-plugins-community · 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
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
clio-pandas

Pandas MCP - Advanced Data Analysis for LLMs with comprehensive pandas operations

by iowarp · Plugin bundle

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

Data science and ML workflow tools. 9 agents, 8 commands, 19 skills, 9 templates for problem framing, preprocessing, validation, EDA, experimentation, review, deployment, and…

by Andika Rachman · Plugin bundle

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

Its card, with similar plugins by marketplace

What each says it does

Zen

In its own words, on Docker MCP Catalog:

Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.

sklearn-pipeline

In its own words, on Community GitHub marketplaces:

Generate scikit-learn ML pipelines with preprocessing

How to run each

Zen As a local MCP server: Docker image

Claude Code

claude mcp add --env "GEMINI_API_KEY=<YOUR_GEMINI_API_KEY>" --env "OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>" --env "OPENROUTER_API_KEY=<YOUR_OPENROUTER_API_KEY>" --env "XAI_API_KEY=<YOUR_XAI_API_KEY>" --transport stdio zen -- docker run -i --rm -e GEMINI_API_KEY -e OPENAI_API_KEY -e OPENROUTER_API_KEY -e XAI_API_KEY mcp/zen

Requires: GEMINI_API_KEY (secret), OPENAI_API_KEY (secret), OPENROUTER_API_KEY (secret), XAI_API_KEY (secret)

sklearn-pipeline

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 sklearn-pipeline publish no list of tools, so we do not compare tools.

Settings each asks for

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

What it can do: Zen · What it can do: sklearn-pipeline · 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 2026-10-26. We publish no contact details for plugin publishers.