data-quality vs BigQuery Data Platform
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. BigQuery Data Platform is an MCP server published by deBilla. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-23. 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 |  BigQuery Data Platform | |
|---|---|---|
| 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: 0.4.0 Downloads/month (PyPI): 861 Downloads/week (PyPI): 86 Forks (GitHub): 0 Stars (GitHub): 0 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 · | BigQuery Data Platform |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 1 |
| Stars (GitHub) (differs) | 3 | 0 |
| Forks (GitHub) | 0 | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | On your machine (@barnburner121/plugin-hub-mcp) | On your machine (data-platform-mcp) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | Not published | 11, secrets among them: 0 |
| Parts of the bundle (differs) | 2 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/barnburner121/claude-plugin-marketplace | github.com/debilla/bigquery-mcp |
| Changes in the last 7 days (differs) | 2 | 0 |
| 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 checks and metrics to dlt pipelines — inspect schema for candidates, define column-level validations and load metrics, run them on every pipeline load, and review results with…
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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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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
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Data validation and quality assurance tools using Pydantic v2, schema validation, data contracts, and quality monitoring for PlanetScale PostgreSQL databases
What each says it does
data-quality
Generate data quality checks and monitoring
BigQuery Data Platform
Read-only BigQuery tools for plain-language data questions, with a cost gate on every query
How to run each
data-quality
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
BigQuery Data Platform As a local MCP server: PyPI package
claude mcp add --transport stdio data-platform-mcp -- uvx data-platform-mcpCommands 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
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: BigQuery Data Platform · 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.