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Comparison

Hugging Face vs io.github.us-all/mlflow

Hugging Face is an MCP server published by docker. Marketplaces we read that list it: 1 (Docker MCP Catalog). 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 2026-10-20. 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
MarketplaceHugging Faceio.github.us-all/mlflow
Docker MCP Catalog Listed
Version: not stated
No figure published
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 1.12.7
Downloads/month (npm): 153
Downloads/week (npm): 21
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

Hugging Face vs io.github.us-all/mlflow
FactHugging Faceio.github.us-all/mlflow
Marketplaces that list it11
Stars (GitHub) (differs)No figure on GitHub1
Forks (GitHub) (differs)No figure on GitHub0
Last releaseNot publishedNot published
Where it runs (differs)Remote server (huggingface.co/mcp)On your machine (@us-all/mlflow-mcp)
Transport (differs)Streamable HTTPstdio
Tools it declares (differs)4Not published
Environment variables it asks for (differs)Not published8, secrets among them: 2
Licence (differs)Apache-2.0Not stated
Repository (differs)Not statedgithub.com/us-all/mlflow-mcp-server
Changes in the last 7 days00
First seen2026-10-112026-10-11
Endpoint at the last check (differs)Responded 4 days agono remote endpoint we check

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

Hugging Face

In its own words, on Docker MCP Catalog:

Tools for interacting with Hugging Face models, datasets, research papers, and more.

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

Hugging Face As a remote MCP server

Claude Code
claude mcp add --transport http hugging-face https://huggingface.co/mcp

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.

Only Hugging Face has a remote endpoint we check. How we check endpoints

Tools each declares

Neither the marketplaces of io.github.us-all/mlflow nor its endpoint list any tools, so we do not compare tools.

Settings each asks for

The marketplaces of Hugging Face publish no settings it asks for, so we do not compare settings.

What it can do: Hugging Face · What it can do: io.github.us-all/mlflow · 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. 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