GKE MCP Server

Enable MCP-compatible AI agents to interact with Google Kubernetes Engine.

Installation

1. Install the tool:

   go install github.com/GoogleCloudPlatform/gke-mcp@latest

   The gke-mcp binary will be installed in the directory specified by the GOBIN environment variable. If GOBIN is not set, it defaults to $GOPATH/bin and, if GOPATH is also not set, it falls back to $HOME/go/bin.

   You can find the exact location by running go env GOBIN. If the command returns an empty value, run go env GOPATH to find the installation directory.

2. Install it as a gemini-cli extension:

   gke-mcp install gemini-cli

   This will create a manifest file in ./.gemini/extensions/gke-mcp that points to the installed gke-mcp binary.

Tools

• cluster_toolkit: Creates AI optimized GKE Clusters.
• list_clusters: List your GKE clusters.
• get_cluster: Get detailed about a single GKE Cluster.
• giq_generate_manifest: Generate a GKE manifest for AI/ML inference workloads using Google Inference Quickstart.
• list_recommendations: List recommendations for your GKE clusters.

Context

In addition to the tools above, a lot of value is provided through the bundled context instructions.

• Cost: The provided instructions allows the AI to answer many questions related to GKE costs, including queries related to clusters, namespaces, and Kubernetes workloads.

Development

To compile the binary and update the gemini-cli extension with your local changes, follow these steps:

1. Build the binary from the root of the project:

   go build -o gke-mcp .

2. Run the installation command to update the extension manifest:

   ./gke-mcp install gemini-cli

   This will make gemini-cli use your locally compiled binary.