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MCP server · Files

Gcp Data Pipeline Security Monitoring

by · github.com/jiatangzhi/gcp-data-pipeline-security-monitoring

GCP data pipeline for security monitoring — ingests events via CSV or Pub/Sub, validates and loads them into BigQuery (raw → cleaned → aggregated). Orchestrated with Airflow, deployed to Cloud Run via Cloud Build, provisioned with Terraform. Includes a Claude-powered agent for natural language queries with BigQuery ML risk scoring.

Unclaimed apache-airflowbigquerycloud-rundata-engineeringetlgcpmcppythonsecurity-monitoringterraform
InstallView source
34Low

Scored 28 days ago · breakdown

About Gcp Data Pipeline Security Monitoring

Gcp Data Pipeline Security Monitoring is an MCP server published by jiatangzhi in the Files category: gCP data pipeline for security monitoring — ingests events via CSV or Pub/Sub, validates and loads them into BigQuery (raw → cleaned → aggregated). Orchestrated with Airflow, deployed to Cloud Run via Cloud Build, provisioned with Terraform. Includes a Claude-powered agent for natural language queries with BigQuery ML risk scoring.

Install

From source
git clone https://github.com/jiatangzhi/gcp-data-pipeline-security-monitoring

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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About Gcp Data Pipeline Security Monitoring

How do I install Gcp Data Pipeline Security Monitoring?

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

Is Gcp Data Pipeline Security Monitoring 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 Gcp Data Pipeline Security Monitoring still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.