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Gemini CLI + MCP Server Setup in 10 Mins! (Insane Dev Setup)

How to Use Gemini CLI by Google | Full Setup, MCP Configuration & Tutorial (2025)
In this step-by-step guide, we’ll walk you through how to install, configure, and master Gemini CLI—Google’s open-source AI terminal assistant powered by Gemini 1.5 Pro with a 1 million token context window. This powerful tool helps you analyze codebases, fix bugs, write documentation, generate tests, and more—all from your terminal.

You'll also learn how to extend Gemini CLI using MCP (Model-Client Protocol)—a plugin framework that lets you integrate external tools like context7 for documentation search and taskmaster-ai for task automation.

What You’ll Learn:

How to install Gemini CLI using npx
Google Cloud Project setup and authentication
Choosing your theme and customizing CLI appearance
How to use @ commands to give Gemini file or folder context
Running MCP tools like context7 and taskmaster-ai
Editing settings.json to connect external MCP servers
Using Gemini CLI inside VS Code for deeper integration

Perfect for developers working with:
JavaScript / TypeScript
Python
Large monorepos or legacy codebases
Open-source and enterprise applications

Why Use Gemini CLI?
Analyze entire codebases with AI
Refactor and debug using natural language
Generate changelogs, tests, and documentation
Extend capabilities via MCP tools—all from your terminal

Tech Stack & Tools Mentioned:
Gemini 1.5 Pro (Google)
Node.js
Google Cloud Console
MCP tools like context7 and taskmaster-ai
VS Code

Resources Mentioned:
Gemini CLI GitHub Repo: https://github.com/google-gemini/gemini-cli
Node.js Download: https://nodejs.org/
Google Cloud Console: https://console.cloud.google.com/

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