Secure MCP Development with Go, Cloud Run, and Gemini CLI

Leveraging the Gemini CLI and the underlying Gemini LLM to add support for building secure Model Context Protocol (MCP) AI applications with the Go Language in a local development environment. What is this Tutorial Trying to Do? Traditionally, ML and AI tools have been deployed in interpreted languages like Python, and Java. One of the key goals of this tutorial is to validate that a compiled language like Go can be used for AI software development beyond the traditional interpreted languages. What Is Go? Go, also known as Golang, is a programming language created at Google. It’s known for being simple, efficient, and reliable. It’s particularly well-suited for building network services and concurrent applications. Google Open Source Projects Installing Go If Go has not been installed in your environment — there are tools for managing Go installations. The Go Version Manager is available here: GitHub - moovweb/gvm: Go Version Manager There are several steps to install gvm : sudo apt-ge