Gemini CLI MCP server
Commit Nov 13, 2026Lets developers query, edit, and automate codebases from the terminal using Gemini models and MCP tools.
Also known as google-gemini/gemini-cli
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- Nov 13, 2026
- License
- Apache-2.0
What is Gemini CLI MCP?
Gemini CLI lets developers query, edit, and automate codebases from the terminal using Gemini models and MCP tools.
Summary generated from the project's README
About Gemini CLI MCP server
Developers with Gemini Code Assist Standard or Enterprise licenses can use this terminal agent to manage large codebases directly from their command line. It functions as an interactive coding assistant that allows for querying, editing, and debugging code through natural language. The tool is designed for enterprise workflows on Google Cloud, though it also supports legacy paid API or Vertex AI keys for authentication.
Users can run the agent interactively or in a non-interactive headless mode for script automation. It supports multimodal inputs, enabling the generation of new applications from sketches, images, or PDFs. By integrating with MCP servers, the agent extends its capabilities to include tasks like media generation with Imagen, Veo, or Lyria. Setup requires configuring a Google Cloud project, a Gemini API key, or Vertex AI credentials depending on the chosen authentication method.
What you can do with it
- 1Automate codebase analysisAn AI client can be instructed to provide a summary of all code changes that occurred on a specific day.
- 2Generate applications from visual sketchesA developer can ask the agent to build a new project based on an uploaded image or sketch.
- 3Automate repetitive operational tasksThe tool can be used within scripts to handle complex rebase operations or query pull requests.
Written from the project's README. Every use case is checked against a quote from it.
Configuration
GEMINI_API_KEYGOOGLE_API_KEYGOOGLE_CLOUD_PROJECTGOOGLE_GENAI_USE_VERTEXAI
| Name | Description | |
|---|---|---|
| GEMINI_API_KEY | — | |
| GOOGLE_API_KEY | — | |
| GOOGLE_CLOUD_PROJECT | — | |
| GOOGLE_GENAI_USE_VERTEXAI | — |
Automated checks
Ran Nov 11, 2026Full report →Not verified yet. A server needs a score of 80, no serious finding, and enough data for us to check. How checks work
- Source repository linked and reachablePass
- Open source license (OSI)Pass
- Commit or release in the last yearPass
- Package name not close to a popular packageNot checked
- Remote endpoint uses HTTPSNot checked
- Destructive tools are labelledNot checked
- No hidden instructions to the modelPass
- No critical advisory in the package or its dependenciesNot checked
README
View on GitHubGemini CLI
[!IMPORTANT] Read before installing — Gemini CLI status & tool guide
- Enterprise Code Assist only: Designed for Gemini Code Assist Standard / Enterprise licenses and Code Assist for GitHub on Google Cloud (your access remains unchanged).
- No free tier or Google AI plans: Free individual access and Google AI Pro / Ultra (Google One) moved to Antigravity CLI on June 18, 2026 (transition post).
- Not optimized for Gemini 4+: Not tuned for the Gemini 4 series (for example, Gemini 4 Argon) or future releases in this or later generations.
- Not for model benchmarks: Don't use Gemini CLI to benchmark Gemini models—its harness isn't tuned for Gemini 4+ and produces unrepresentative scores.
Which Google CLI do you need?
Tool Best for Links Antigravity CLI ( agy)Interactive multi-agent coding terminal. Use for Gemini 4 Argon+, free / Google AI Pro & Ultra accounts, or Google Cloud. Download · Migrate · Argon post Gemini API CLI ( gemini-api)Stateless API CLI (not a coding harness). Gives agents ( agy, Claude Code, Codex), scripts, and CI direct commands for Gemini models, media gen, file analysis, and managed agents.GitHub · Releases · API docs Gemini CLI ( gemini, this repo)Organizations with Gemini Code Assist Standard / Enterprise or Code Assist for GitHub on Google Cloud (plus legacy paid API / Vertex keys). Docs
Gemini CLI (gemini) is an open-source terminal agent maintained for enterprise
Gemini Code Assist workflows on Google Cloud. Learn more in the
Gemini CLI documentation.
📦 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 Channels
See Releases for more details.
Preview
New preview releases will be published each week at UTC 23:59 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 20:00 on Tuesdays, this
will be the full promotion of last week's
previewrelease + any bug fixes and validations. Uselatesttag.
npm install -g @google/gemini-cli@latest
Nightly
- New releases will be published each day at UTC 00:00. 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
nightlytag.
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
🔐 Authentication Options
Choose the authentication method that best fits your needs:
Option 1: Sign in with Google (OAuth login using your Google Account)
When 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:
- 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
- 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.
- 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 reference - Built-in tools overview.
- Local development - Local development tooling.
Troubleshooting & Support
- Troubleshooting Guide - Common issues and solutions.
- FAQ - Frequently asked questions.
- Use
/bugcommand 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
- Free Course - Learn the basics.
- 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
Gemini CLI MCP questions
How do I install Gemini CLI?
You can install it globally with npm using npm install -g @google/gemini-cli, or run it instantly with npx @google/gemini-cli. Homebrew, MacPorts, and Anaconda installs are also supported.
What authentication options does Gemini CLI support?
It supports Google sign-in via OAuth, a Gemini API key, and Vertex AI. The README describes each of these three options with example environment variables.
Can I use Gemini CLI non-interactively in scripts?
Yes, use the -p flag for a simple text response, or add --output-format json or stream-json for structured or streaming output. This makes it usable in automated workflows.
How do I connect MCP servers to Gemini CLI?
Configure MCP servers in ~/.gemini/settings.json to extend Gemini CLI with custom tools. You can then reference them with @ mentions like @github or @slack.
Who is Gemini CLI intended for?
It is maintained for enterprise Gemini Code Assist workflows on Google Cloud, including Standard/Enterprise licenses and Code Assist for GitHub. Free individual and Google AI Pro/Ultra access moved to Antigravity CLI.