Build and Deploy a Remote MCP Server to GKE in 30 Minutes

This article explains how to deploy a remote Model Context Protocol (MCP) server to Google Kubernetes Engine (GKE) in 30 minutes. Running an MCP server on GKE provides scalability, centralized access, and enhanced security. To start, ensure you have the necessary tools installed, including Python 3.10 or higher, uv, Google Cloud SDK, and kubectl. You can then follow the guide to set up a secure remote MCP server on GKE.