Google Kubernetes Engine (GKE)▌
by google
Explore Google Kubernetes Engine (GKE) MCP servers. Access resources and examples for context-aware app development in G
Discover official and open-source Model Context Protocol (MCP) servers from Google. This project provides an up-to-date directory of MCP servers for Google services like Google Kubernetes Engine (GKE). Explore examples and resources that help you build, integrate, and extend intelligent agents using Google's ecosystem of MCP solutions—all designed to streamline context-aware app development and experimentation.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Cloud developers using Google Cloud Platform
- / DevOps teams managing GCP infrastructure
- / Data analysts working with Google's data services
- / Building AI agents that need GCP context
capabilities
- / Connect to Google Kubernetes Engine clusters
- / Query BigQuery datasets and tables
- / Access Cloud SQL databases
- / Manage Compute Engine instances
- / Browse Google developer documentation
- / Deploy custom MCP servers to Google Cloud
what it does
Provides access to Google's official MCP servers for cloud services like GKE, BigQuery, and Cloud SQL. Includes both remote managed servers and open-source options you can deploy yourself.
about
Google Kubernetes Engine (GKE) is an official MCP server published by google that provides AI assistants with tools and capabilities via the Model Context Protocol. Explore Google Kubernetes Engine (GKE) MCP servers. Access resources and examples for context-aware app development in G It is categorized under cloud infrastructure, developer tools.
how to install
You can install Google Kubernetes Engine (GKE) in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
Apache-2.0
Google Kubernetes Engine (GKE) is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
google/mcp
This repository contains a list of Google's official Model Context Protocol (MCP) servers, guidance on how to deploy MCP servers to Google Cloud, and examples to get started.
⚡ Google MCP Servers
Remote MCP servers
These remote MCP servers are managed by Google, and are available via endpoint. This list will be kept up-to-date as more remote servers become available.
- AlloyDB for PostgreSQL
- BigQuery
- Bigtable
- Cloud Resource Manager
- Cloud SQL for MySQL
- Cloud SQL for PostgreSQL
- Cloud SQL for SQL Server
- Compute Engine (GCE)
- Developer Knowledge API (Google Developer Documentation)
- Firestore
- Google Maps (Grounding Lite)
- Google Security Operations (Chronicle)
- Kubernetes Engine (GKE)
- Spanner
Open-source MCP servers
You can run these open-source MCP servers locally, or deploy them to Google Cloud (see below).
- Google Workspace, including Google Docs, Sheets, Slides, Calendar, and Gmail. (Gemini CLI extension)
- Firebase (Gemini CLI extension)
- Cloud Run (Gemini CLI Extension)
- Go
- Google Analytics
- MCP Toolbox for Databases, including BigQuery, Cloud SQL, AlloyDB, Spanner, Firestore, and more.
- Google Cloud Storage
- Genmedia, including Imagen and Veo models.
- Kubernetes Engine (GKE)
- Google Cloud Security, including Security Command Center, Chronicle, and more.
- gcloud CLI
- Google Cloud Observability
- Flutter/Dart
- Google Maps Platform Code Assist toolkit
- Chrome DevTools
💻 Examples
- Launch My Bakery (
/examples/launchmybakery): A sample agent built with Agent Development Kit (ADK) that uses remote MCP servers for Google Maps and BigQuery.
📙 Resources
Run an MCP server in Google Cloud
- Documentation - Host MCP Servers on Cloud Run
- Blog Post - Build and Deploy a Remote MCP Server to Google Cloud Run in Under 10 Minutes
- MCP Toolbox for Databases - Deploy to Cloud Run, Deploy to Google Kubernetes Engine (GKE)
- Blog post - Announcing MCP support for Apigee (Turnkey MCP hosting for Apigee-hosted APIs)
- “Tools Make an Agent” - Blog and Codelab
- Codelab - How to deploy a secure MCP server on Cloud Run
- Codelab - "Agent Verse" - Architecting Multi-agent Systems
🤝 Contributing
We welcome contributions to this repository, including bug reports, feature requests, documentation improvements, and code contributions. Please see our Contributing Guidelines to get started.
📃 License
This project is licensed under the Apache 2.0 License - see the LICENSE file for details.
Disclaimers
This is not an officially supported Google product. This project is intended for demonstration purposes only.
This project is not eligible for the Google Open Source Software Vulnerability Rewards Program.
FAQ
- What is the Google Kubernetes Engine (GKE) MCP server?
- Google Kubernetes Engine (GKE) is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Google Kubernetes Engine (GKE)?
- This profile displays 60 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★60 reviews- ★★★★★Kabir Desai· Dec 28, 2024
Google Kubernetes Engine (GKE) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Shikha Mishra· Dec 12, 2024
According to our notes, Google Kubernetes Engine (GKE) benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Hassan Reddy· Dec 8, 2024
Google Kubernetes Engine (GKE) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Sofia Malhotra· Dec 8, 2024
Useful MCP listing: Google Kubernetes Engine (GKE) is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Aisha Harris· Nov 27, 2024
Google Kubernetes Engine (GKE) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Sofia Abebe· Nov 27, 2024
Strong directory entry: Google Kubernetes Engine (GKE) surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Kabir Okafor· Nov 19, 2024
Google Kubernetes Engine (GKE) has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Yash Thakker· Nov 3, 2024
We wired Google Kubernetes Engine (GKE) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Dhruvi Jain· Oct 22, 2024
Google Kubernetes Engine (GKE) is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Mei Jain· Oct 18, 2024
We wired Google Kubernetes Engine (GKE) into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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