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Comparison

dqx vs GoldenCheck

dqx is a plugin bundle for AI coding tools published by Databricks Labs. Marketplaces we read that list it: 1 (Community GitHub marketplaces). GoldenCheck is an MCP server published by benseverndev-oss. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-25. 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
MarketplacedqxGoldenCheck
Community marketplace databrickslabs/dqx Listed
Version: 0.1.0
Forks (GitHub): 161
Stars (GitHub): 476
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 3.6.0
Downloads/month (PyPI): 685
Downloads/week (PyPI): 85
Forks (GitHub): 0
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

dqx vs GoldenCheck
FactdqxGoldenCheck
Marketplaces that list it11
Stars (GitHub) (differs)476 (better)2 (worse)
Forks (GitHub) (differs)161 (better)0 (worse)
Last releaseNot publishedNot published
Where it runs (differs)Installs as a plugin bundleRemote server (goldencheck-mcp-production.up.railway.app/mcp)
Transport (differs)Not statedStreamable HTTP
Tools it declaresNot publishedNot published
Environment variables it asks forNot publishedNot published
Parts of the bundle (differs)5Not a bundle
Licence (differs)SEE LICENSE IN LICENSENot stated
Repository (differs)github.com/databrickslabs/dqxgithub.com/benseverndev-oss/goldencheck
Changes in the last 7 days00
First seen (differs)2026-10-152026-10-11
Endpoint at the last check (differs)no remote endpoint we checkAnswered with HTTP 404 (42 h ago)

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

dqx

In its own words, on Community GitHub marketplaces:

DQX by Databricks Labs — AI assistant skills for defining, applying, storing, and profiling data quality rules in PySpark.

GoldenCheck

In its own words, on Official MCP Registry:

Auto-discover validation rules from data — scan, profile, health-score. No rules to write.

How to run each

dqx As a Claude Code plugin

Claude Code
/plugin marketplace add databrickslabs/dqx
/plugin install dqx@databrickslabs-dqx

GoldenCheck As a remote MCP server

Claude Code
claude mcp add --transport http goldencheck https://goldencheck-mcp-production.up.railway.app/mcp/

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

Only GoldenCheck has a remote endpoint we check. How we check endpoints

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: dqx · What it can do: GoldenCheck · 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