data-quality vs io.github.schemacrawler/schemacrawler-ai
data-quality is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑18.
data-quality is a plugin bundle for AI coding tools published by barnburner121. No marketplace we read lists it any more. io.github.schemacrawler/schemacrawler-ai is an MCP server published by schemacrawler. Marketplaces we read that list it: 2 (Official MCP Registry, Docker MCP Catalog). As of our marketplace pass on 2026-11-10. 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
| Marketplace |  io.github.schemacrawler/schemacrawler-ai | |
|---|---|---|
| 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: v18.0.2-1 Forks (GitHub): 4 Stars (GitHub): 14 Not marked · First seen |
| Docker MCP Catalog | Not listed | Listed Version: sha256:3321b42e2bb8 Forks (GitHub): 4 Pulls (Docker Hub): 14 797 Stars (Docker Hub): 2 Stars (GitHub): 14 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
| Fact | data-qualityno longer listed · | io.github.schemacrawler/schemacrawler-ai |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 2 |
| Stars (GitHub) (differs) | 3 | 14 |
| Pulls (Docker Hub) (differs) | No figure on Docker Hub | 14 797 |
| Forks (GitHub) (differs) | 0 | 4 |
| Last release (differs) | Not published | 2026-11-10 |
| Where it runs (differs) | On your machine (@barnburner121/plugin-hub-mcp) | On your machine (schemacrawler/schemacrawler-ai:18.0.2-1) |
| Transport (differs) | Not stated | stdio |
| Tools it declares (differs) | Not published | 8 |
| Environment variables it asks for (differs) | Not published | 15, secrets among them: 4 |
| Parts of the bundle (differs) | 2 | Not a bundle |
| Licence (differs) | MIT | NOASSERTION |
| Repository (differs) | github.com/barnburner121/claude-plugin-marketplace | github.com/schemacrawler/schemacrawler-ai |
| Changes in the last 7 days (differs) | 0 | 3 |
| First seen (differs) | 2026-10-14 | 2026-10-11 |
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 data-quality
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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Add column-level checks and load metrics to dlt pipelines, run them on every load and review failures with diagnosis. Requires dlt[hub].
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DQX by Databricks Labs — AI assistant skills for defining, applying, storing, and profiling data quality rules in PySpark.
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Audit datasets for completeness, consistency, accuracy, and validity. 3 stdlib-only Python tools: data profiler with DQS scoring, missing value analyzer with MCAR/MAR/MNAR…
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data-analysis
Data analysis toolkit — multi-dialect SQL patterns, statistical methods, dataset profiling, and analysis quality assurance.
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Schema validation, data quality monitoring, streaming validation pipelines, and input validation for backend APIs
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Schema validation, data quality monitoring, streaming validation pipelines, and input validation for backend APIs
What each says it does
data-quality
Generate data quality checks and monitoring
io.github.schemacrawler/schemacrawler-ai
Enables natural language schema queries — explore tables, keys, procedures, and get SQL help fast
How to run each
data-quality
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
io.github.schemacrawler/schemacrawler-ai As a local MCP server: Docker image
claude mcp add --env "SCHCRWLR_ADDITIONAL_CONFIG=<YOUR_SCHCRWLR_ADDITIONAL_CONFIG>" --env "SCHCRWLR_DATABASE_PASSWORD=<YOUR_SCHCRWLR_DATABASE_PASSWORD>" --env "SCHCRWLR_DATABASE_USER=<YOUR_SCHCRWLR_DATABASE_USER>" --env "SCHCRWLR_JDBC_URL=<YOUR_SCHCRWLR_JDBC_URL>" --transport stdio schemacrawler-ai -- docker run -i --rm -e SCHCRWLR_ADDITIONAL_CONFIG -e SCHCRWLR_DATABASE_PASSWORD -e SCHCRWLR_DATABASE_USER -e SCHCRWLR_JDBC_URL schemacrawler/schemacrawler-ai:18.0.2-1Requires: SCHCRWLR_ADDITIONAL_CONFIG (secret), SCHCRWLR_DATABASE_PASSWORD (secret), SCHCRWLR_DATABASE_USER (secret), SCHCRWLR_JDBC_URL (secret)
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
The marketplaces of data-quality publish no list of tools, so we do not compare tools.
Settings each asks for
The marketplaces of data-quality publish no settings it asks for, so we do not compare settings.
What it can do: data-quality · What it can do: io.github.schemacrawler/schemacrawler-ai · 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. Data comes from the Docker MCP Catalog (desktop.docker.com/mcp/catalog) and Docker Hub. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.