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MLflow Skills vs io.github.charo360/statecli

MLflow Skills is a plugin bundle for AI coding tools published by mlflow. Marketplaces we read that list it: 1 (Claude Code: claude-plugins-official). io.github.charo360/statecli is an MCP server published by charo360. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-13. 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

Where each is published
MarketplaceMLflow Skillsio.github.charo360/statecli
Claude Code: claude-plugins-official Listed
Version: 1.0.0
Forks (GitHub): 25
Stars (GitHub): 79
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 0.5.0
Downloads/month (npm): 249
Downloads/week (npm): 48
Forks (GitHub): 1
Stars (GitHub): 2
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

MLflow Skills vs io.github.charo360/statecli
FactMLflow Skillsio.github.charo360/statecli
Marketplaces that list it11
Stars (GitHub) (differs)79 (better)2 (worse)
Forks (GitHub) (differs)25 (better)1 (worse)
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleOn your machine (statecli-mcp-server)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Hooks it runs (differs)1Not published
Parts of the bundle (differs)14Not a bundle
LicenceNot statedNot stated
Repository (differs)github.com/mlflow/skillsgithub.com/statecli/mcp-server
Changes in the last 7 days00
First seen2026-10-112026-10-11

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

MLflow Skills

In its own words, on Claude Code: claude-plugins-official:

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

io.github.charo360/statecli

In its own words, on Official MCP Registry:

State replay and self-debugging for AI agents. Track, replay, undo, checkpoint.

How to run each

MLflow Skills As a Claude Code plugin

Claude Code
/plugin install mlflow@claude-plugins-official

io.github.charo360/statecli As a local MCP server: npm package

Claude Code
claude mcp add --transport stdio statecli -- npx -y statecli-mcp-server

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

Neither one's marketplaces publish the settings it asks for.

What it can do: MLflow Skills · What it can do: io.github.charo360/statecli · Compare two other plugins

Data comes from the public marketplace file https://github.com/anthropics/claude-plugins-official/blob/HEAD/.claude-plugin/marketplace.json. 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