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icedq-mcp vs air-Q Cloud

icedq-mcp is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑15.

icedq-mcp is a plugin bundle for AI coding tools published by iceDQ Integration Team. No marketplace we read lists it any more. air-Q Cloud is an MCP server published by CorantGmbH. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-10-24. 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

Where each is published
Marketplaceicedq-mcpair-Q Cloud
Community marketplace icedq-tools/mcp-server Removed on 2026-10-15
Version: 2.0.3
Forks (GitHub): 0
Stars (GitHub): 1
Not marked · First seen
Not listed
Official MCP Registry Not listed Listed
Version: 1.4.6
Downloads/month (PyPI): 330
Downloads/week (PyPI): 74
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

icedq-mcp vs air-Q Cloud
Facticedq-mcpno longer listed · air-Q Cloud
Marketplaces that list it (differs)01
Stars (GitHub) (differs)10
Forks (GitHub)00
Last releaseNot publishedNot published
Where it runs (differs)On your machine (@icedq/mcp-server)On your machine (mcp-airq-cloud)
Transport (differs)Not statedstdio
Tools it declaresNot publishedNot published
Environment variables it asks for (differs)13, secrets among them: 43, secrets among them: 2
Parts of the bundle (differs)9Not a bundle
Licence (differs)Apache-2.0Not stated
Repository (differs)github.com/icedq-tools/mcp-servergithub.com/corantgmbh/mcp-airq-cloud
Changes in the last 7 days00
First seen (differs)2026-10-132026-10-11

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 icedq-mcp

Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.

  • dqx

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

    by Databricks Labs · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • data-quality

    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…

    by ScaleVector GmbH · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • data-quality

    Data validation and quality assurance tools using Pydantic v2, schema validation, data contracts, and quality monitoring for PlanetScale PostgreSQL databases

    by Grey Haven Studio · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • data-quality-auditor

    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…

    by Alireza Rezvani · Plugin bundle

    Listed on: Community GitHub marketplaces · Describes nearly the same job

  • Data Observability

    SQL data health analyzer and pipeline observability evaluator.

    by Evozim · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

  • GoldenCheck

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

    by benseverndev-oss · MCP server

    Listed on: Official MCP Registry · Describes nearly the same job

Its card, with similar plugins by marketplace

What each says it does

icedq-mcp

In its own words, on Community GitHub marketplaces:

Author, run, and schedule iceDQ data quality rules, bundled with the iceDQ MCP server.

air-Q Cloud

In its own words, on Official MCP Registry:

MCP server for air-Q Cloud API — access air quality data from anywhere

How to run each

icedq-mcp

No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.

air-Q Cloud As a local MCP server: PyPI package

Claude Code
claude mcp add --env "AIRQ_CLOUD_API_KEY=<YOUR_AIRQ_CLOUD_API_KEY>" --env "AIRQ_CLOUD_DEVICES=<YOUR_AIRQ_CLOUD_DEVICES>" --transport stdio mcp-airq-cloud -- uvx mcp-airq-cloud

Requires: AIRQ_CLOUD_API_KEY (secret), AIRQ_CLOUD_DEVICES (secret)

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

Only icedq-mcp asks for

  • AUTH_TYPE (secret)
  • DEBUG
  • ICEDQ_BASE_URL
  • ICEDQ_CLIENT_ID
  • ICEDQ_CLIENT_SECRET (secret)
  • ICEDQ_ORG_ID
  • ICEDQ_PASSWORD (secret)
  • ICEDQ_REALM
  • ICEDQ_USERNAME
  • NODE_ENV
  • REQUEST_TIMEOUT
  • TOKENS_PATH (secret)
Show the remaining 1
  • VERIFY_SSL

Only air-Q Cloud asks for

  • AIRQ_CLOUD_API_KEY (secret)
  • AIRQ_CLOUD_CONFIG_FILE
  • AIRQ_CLOUD_DEVICES (secret)

Settings as each marketplace publishes them. Asking for fewer is not better in itself.

What it can do: icedq-mcp · What it can do: air-Q Cloud · 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