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  2. RAG
  3. Google Cloud Data Engineering Hub
MCP server · RAG

Google Cloud Data Engineering Hub

55 production-grade Google Cloud data engineering projects in Python — BigQuery, Dataflow/Apache Beam, Composer/Airflow, Pub/Sub, Dataproc, Vertex AI, Gemini, RAG, MCP. Live-tested on GCP.

34Low

Scored 1 hours ago · breakdown

About Google Cloud Data Engineering Hub

Google Cloud Data Engineering Hub is an MCP server published by vishal-bulbule in the RAG category: 55 production-grade Google Cloud data engineering projects in Python — BigQuery, Dataflow/Apache Beam, Composer/Airflow, Pub/Sub, Dataproc, Vertex AI, Gemini, RAG, MCP. Live-tested on GCP.

The repository has 8 stars and 0 forks, with the last commit 22 days ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/vishal-bulbule/google-cloud-data-engineering-hub

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Questions

About Google Cloud Data Engineering Hub

How do I install Google Cloud Data Engineering Hub?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Google Cloud Data Engineering Hub safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Google Cloud Data Engineering Hub still maintained?

Yes — the last commit was 22 days ago. The repository has 8 stars and 0 forks.