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gemini-cli

starFeaturedMCP Server

An open-source AI agent that brings the power of Gemini directly into your terminal.

Copy the install, test the workflow, then decide if it earns a permanent slot.

102,724
Why nowMoving now

Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.

DecisionHigh-conviction move

Copy the install, test the workflow, then decide if it earns a permanent slot.

Trial costFast eval

You can test this quickly and remove it cleanly if it misses.

Risk47/100

GitHub health 75/100. no security policy. 2,859 open issues make this testable, but not something to trust blind.

What You Are Adopting

AI Agent

Universal

Model

Gemini

Build Time

Days

Test This In Your Stack

One command inClean rollbackLow commitment
settingsRegistryAdds a named entry to Claude config. One command to remove.

Fastest way to find out if gemini-cli belongs in your setup.

Copy the install command, run a real test, and back it out cleanly if it slows you down.

Try now
claude mcp add gemini-cli -- npx gemini-cli

Run this first. You will know quickly if the workflow earns a permanent slot.

Back out
claude mcp remove gemini-cli

No messy cleanup loop. If it misses, remove it and keep moving.

Install Location

~/  └─ .claude.json    └─ mcp_servers/      └─ gemini-cli ← registers here

About

An open-source AI agent that brings the power of Gemini directly into your terminal.

README

Gemini CLI

Gemini CLI CI Gemini CLI E2E (Chained) Version License View Code Wiki

Gemini CLI Screenshot

Gemini CLI is an open-source AI agent that brings the power of Gemini directly into your terminal. It provides lightweight access to Gemini, giving you the most direct path from your prompt to our model.

Learn all about Gemini CLI in our documentation.

🚀 Why Gemini CLI?

  • 🎯 Free tier: 60 requests/min and 1,000 requests/day with personal Google account.
  • 🧠 Powerful Gemini 3 models: Access to improved reasoning and 1M token context window.
  • 🔧 Built-in tools: Google Search grounding, file operations, shell commands, web fetching.
  • 🔌 Extensible: MCP (Model Context Protocol) support for custom integrations.
  • 💻 Terminal-first: Designed for developers who live in the command line.
  • 🛡️ Open source: Apache 2.0 licensed.

📦 Installation

See Gemini CLI installation, execution, and releases for recommended system specifications and a detailed installation guide.

Quick Install

Run instantly with npx

# Using npx (no installation required)
npx @google/gemini-cli

Install globally with npm

npm install -g @google/gemini-cli

Install globally with Homebrew (macOS/Linux)

brew install gemini-cli

Install globally with MacPorts (macOS)

sudo port install gemini-cli

Install with Anaconda (for restricted environments)

# Create and activate a new environment
conda create -y -n gemini_env -c conda-forge nodejs
conda activate gemini_env

# Install Gemini CLI globally via npm (inside the environment)
npm install -g @google/gemini-cli

Release Cadence and Tags

See Releases for more details.

Preview

New preview releases will be published each week at UTC 2359 on Tuesdays. These releases will not have been fully vetted and may contain regressions or other outstanding issues. Please help us test and install with preview tag.

npm install -g @google/gemini-cli@preview

Stable

  • New stable releases will be published each week at UTC 2000 on Tuesdays, this will be the full promotion of last week's preview release + any bug fixes and validations. Use latest tag.
npm install -g @google/gemini-cli@latest

Nightly

  • New releases will be published each day at UTC 0000. This will be all changes from the main branch as represented at time of release. It should be assumed there are pending validations and issues. Use nightly tag.
npm install -g @google/gemini-cli@nightly

📋 Key Features

Code Understanding & Generation

  • Query and edit large codebases
  • Generate new apps from PDFs, images, or sketches using multimodal capabilities
  • Debug issues and troubleshoot with natural language

Automation & Integration

  • Automate operational tasks like querying pull requests or handling complex rebases
  • Use MCP servers to connect new capabilities, including media generation with Imagen, Veo or Lyria
  • Run non-interactively in scripts for workflow automation

Advanced Capabilities

  • Ground your queries with built-in Google Search for real-time information
  • Conversation checkpointing to save and resume complex sessions
  • Custom context files (GEMINI.md) to tailor behavior for your projects

GitHub Integration

Integrate Gemini CLI directly into your GitHub workflows with Gemini CLI GitHub Action:

  • Pull Request Reviews: Automated code review with contextual feedback and suggestions
  • Issue Triage: Automated labeling and prioritization of GitHub issues based on content analysis
  • On-demand Assistance: Mention @gemini-cli in issues and pull requests for help with debugging, explanations, or task delegation
  • Custom Workflows: Build automated, scheduled and on-demand workflows tailored to your team's needs

🔐 Authentication Options

Choose the authentication method that best fits your needs:

Option 1: Login with Google (OAuth login using your Google Account)

✨ Best for: Individual developers as well as anyone who has a Gemini Code Assist License. (see quota limits and terms of service for details)

Benefits:

  • Free tier: 60 requests/min and 1,000 requests/day
  • Gemini 3 models with 1M token context window
  • No API key management - just sign in with your Google account
  • Automatic updates to latest models

Start Gemini CLI, then choose Login with Google and follow the browser authentication flow when prompted

gemini

If you are using a paid Code Assist License from your organization, remember to set the Google Cloud Project

# Set your Google Cloud Project
export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"
gemini

Option 2: Gemini API Key

✨ Best for: Developers who need specific model control or paid tier access

Benefits:

  • Free tier: 1000 requests/day with Gemini 3 (mix of flash and pro)
  • Model selection: Choose specific Gemini models
  • Usage-based billing: Upgrade for higher limits when needed
# Get your key from https://aistudio.google.com/apikey
export GEMINI_API_KEY="YOUR_API_KEY"
gemini

Option 3: Vertex AI

✨ Best for: Enterprise teams and production workloads

Benefits:

  • Enterprise features: Advanced security and compliance
  • Scalable: Higher rate limits with billing account
  • Integration: Works with existing Google Cloud infrastructure
# Get your key from Google Cloud Console
export GOOGLE_API_KEY="YOUR_API_KEY"
export GOOGLE_GENAI_USE_VERTEXAI=true
gemini

For Google Workspace accounts and other authentication methods, see the authentication guide.

🚀 Getting Started

Basic Usage

Start in current directory

gemini

Include multiple directories

gemini --include-directories ../lib,../docs

Use specific model

gemini -m gemini-2.5-flash

Non-interactive mode for scripts

Get a simple text response:

gemini -p "Explain the architecture of this codebase"

For more advanced scripting, including how to parse JSON and handle errors, use the --output-format json flag to get structured output:

gemini -p "Explain the architecture of this codebase" --output-format json

For real-time event streaming (useful for monitoring long-running operations), use --output-format stream-json to get newline-delimited JSON events:

gemini -p "Run tests and deploy" --output-format stream-json

Quick Examples

Start a new project

cd new-project/
gemini
> Write me a Discord bot that answers questions using a FAQ.md file I will provide

Analyze existing code

git clone https://github.com/google-gemini/gemini-cli
cd gemini-cli
gemini
> Give me a summary of all of the changes that went in yesterday

📚 Documentation

Getting Started

  • Quickstart Guide - Get up and running quickly.
  • Authentication Setup - Detailed auth configuration.
  • Configuration Guide - Settings and customization.
  • Keyboard Shortcuts - Productivity tips.

Core Features

  • Commands Reference - All slash commands (/help, /chat, etc).
  • Custom Commands - Create your own reusable commands.
  • Context Files (GEMINI.md) - Provide persistent context to Gemini CLI.
  • Checkpointing - Save and resume conversations.
  • Token Caching - Optimize token usage.

Tools & Extensions

  • Built-in Tools Overview
    • File System Operations
    • Shell Commands
    • Web Fetch & Search
  • MCP Server Integration - Extend with custom tools.
  • Custom Extensions - Build and share your own commands.

Advanced Topics

  • Headless Mode (Scripting) - Use Gemini CLI in automated workflows.
  • Architecture Overview - How Gemini CLI works.
  • IDE Integration - VS Code companion.
  • Sandboxing & Security - Safe execution environments.
  • Trusted Folders - Control execution policies by folder.
  • Enterprise Guide - Deploy and manage in a corporate environment.
  • Telemetry & Monitoring - Usage tracking.
  • Tools API Development - Create custom tools.
  • Local development - Local development tooling.

Troubleshooting & Support

  • Troubleshooting Guide - Common issues and solutions.
  • FAQ - Frequently asked questions.
  • Use /bug command to report issues directly from the CLI.

Using MCP Servers

Configure MCP servers in ~/.gemini/settings.json to extend Gemini CLI with custom tools:

> @github List my open pull requests
> @slack Send a summary of today's commits to #dev channel
> @database Run a query to find inactive users

See the MCP Server Integration guide for setup instructions.

🤝 Contributing

We welcome contributions! Gemini CLI is fully open source (Apache 2.0), and we encourage the community to:

  • Report bugs and suggest features.
  • Improve documentation.
  • Submit code improvements.
  • Share your MCP servers and extensions.

See our Contributing Guide for development setup, coding standards, and how to submit pull requests.

Check our Official Roadmap for planned features and priorities.

📖 Resources

  • Official Roadmap - See what's coming next.
  • Changelog - See recent notable updates.
  • NPM Package - Package registry.
  • GitHub Issues - Report bugs or request features.
  • Security Advisories - Security updates.

Uninstall

See the Uninstall Guide for removal instructions.

📄 Legal

  • License: Apache License 2.0
  • Terms of Service: Terms & Privacy
  • Security: Security Policy

Built with ❤️ by Google and the open source community

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ActiveLast commit today
bug_report2,859open issues
Submitted April 29, 2026

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