A Google plugin for Gemini CLI, Claude Code and Codex connects the agent to PostgreSQL: schemas, queries, indexes and query plans.
Google Cloud
OrganizationGitHub (opens in a new tab)
The organization Google Cloud develops tools for AI agents to manage cloud infrastructure and data analytics. This includes MCP servers and CLI tools like kubectl-ai for Kubernetes, Cloud Run MCP server, and GKE MCP Server for cluster management and deployment.
Plugins
5 cardsA Google Cloud plugin catalog for databases and analytics: AlloyDB, Spanner, Bigtable, Firestore, Cloud SQL and Looker.
A Google plugin for Claude Code, Codex and Antigravity: Looker data queries, dashboards and LookML in plain language.
An official Google Cloud plugin: the agent finds BigQuery tables, writes SQL and builds forecasts from natural language questions.
Google's plugin with six skills and two MCP servers for Cloud Storage: buckets, objects, access errors and security audits
MCP servers
2 cardsGoogle's MCP server for deploying apps to Cloud Run from an agent, with service listing and log reading
Google Cloud's MCP server and Gemini CLI extension for GKE clusters: resources, logs, deploys, costs and upgrade risks
CLI tools
2 cardsAn AI assistant for Kubernetes that turns plain-language requests into kubectl operations and doubles as an MCP server
CXAS SCRAPI is a Python package, cxas CLI and eight skills to build, lint and evaluate agents on Google CX Agent Studio.
In short
Google Cloud also provides plugins for databases and analytics such as Postgres, Looker, BigQuery, and Cloud Storage to enable natural language queries and data operations.
How to install
One command, using “kubectl-ai” as an example. The SkillFoxx CLI detects the agent and puts the files in the right folder.
npx skillfoxx add cli/kubectl-aiAccess of the author’s cards
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