Gke (google Kubernetes Engine) MCP Server

@GoogleCloudPlatform

代码仓库

基本信息

分类

云与基础设施

传输方式

stdio

作者

GoogleCloudPlatform

提交者

Brad Hoekstra

关于 Gke (google Kubernetes Engine) MCP Server

暂无概览

#gke#kubernetes #mcp #google-cloud

Gke (google Kubernetes Engine) MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Gke (google Kubernetes Engine) MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Gke (google Kubernetes Engine) Mcp?

Gke (google Kubernetes Engine) Mcp is an MCP server that enables AI‑compatible agents to interact with Google Kubernetes Engine. It provides tools and context instructions for managing clusters, reviewing costs, and checking known issues directly from an AI assistant.

How to use Gke (google Kubernetes Engine) Mcp?

Install the gke-mcp binary using the quick install script (curl -sSL https://raw.githubusercontent.com/GoogleCloudPlatform/gke-mcp/main/install.sh | bash) or manually with go install. Then add the server to your AI – for example, run gke-mcp install gemini-cli for Gemini CLI, or merge the JSON snippet into your MCP configuration for other AI tools.

Key features of Gke (google Kubernetes Engine) Mcp

Creates AI‑optimized GKE clusters.
Lists and retrieves detailed cluster information.
Generates GKE manifests for AI/ML inference.
Provides recommendations and queries GKE logs.
Offers context on GKE costs and known issues.

Use cases of Gke (google Kubernetes Engine) Mcp

AI agents provisioning and managing GKE clusters automatically.
Troubleshooting by querying Google Cloud logs with Logging Query Language.
Generating deployment manifests for AI inference workloads using Google Inference Quickstart.
Checking a cluster’s impact from the latest GKE known issues.
Getting cost‑related answers about clusters, namespaces, and Kubernetes workloads.

常见问题

Which AI agents can I use with this MCP server?

Gemini CLI is directly supported via the `install gemini-cli` command. Other AI tools that accept JSON‑based MCP configuration can also be used by adding the provided `mcpServers` snippet.

How do I install the server?

Two options: run the quick install script (Linux/macOS only) or install Go and then run `go install github.com/GoogleCloudPlatform/gke-mcp@latest`. The binary will be placed in your `GOBIN` directory.

What tools are included?

The server exposes tools for cluster creation, listing/getting clusters, generating AI inference manifests, listing recommendations, querying logs, and fetching log schemas.

Does the server offer any built‑in context beyond tools?

Yes – the server bundles context instructions that allow the AI to answer questions about GKE costs and to fetch and check the latest GKE known issues.

Are there any runtime requirements besides the binary?

No additional runtime is required after installation. The binary is self‑contained; no external services or dependencies need to be manually configured.

云与基础设施分类下的更多 MCP 服务器

MCP Server Kubernetes

Flux159

MCP Server for kubernetes management commands

1.5K

OutageDeck

outagedeck

Official OutageDeck MCP server for vendor-published cloud and SaaS status, incident timelines, and observed uptime history.

YesTechie — UniFi Network & Security Integrator

YesTechie

YesTechie builds enterprise UniFi networks, cameras, access control, cabling and Wi-Fi for businesses nationwide from its California HQ. Agents can read real project case studies and practical configuration guides, price

Backblaze B2 MCP server

backblaze-labs

MCP server for Backblaze B2 Cloud Storage: a focused, safe 40-tool surface (17 native B2 SDK, 19 S3 data-plane, 4 analytics) for any MCP-compatible AI client, currently incubating in Backblaze-Labs

Kilo IoT Platform

Kilo IoT

Your AI can finally reach the physical world. Kilo is an AI-first IoT platform for commercial and industrial operations, and this connector hands a live deployment to the AI client you already use. Not an export. Not a