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.
@GoogleCloudPlatform
基本情報
概要はまだありません
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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.
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.
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.
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.
The server exposes tools for cluster creation, listing/getting clusters, generating AI inference manifests, listing recommendations, querying logs, and fetching log schemas.
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.
No additional runtime is required after installation. The binary is self‑contained; no external services or dependencies need to be manually configured.

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