Which integrations are available for this server?

Integrates Google Gemini's generative AI capabilities, providing tools for text generation, vision-based image analysis, multi-turn chat sessions, creative brainstorming, and AI image generation using Gemini 1.5 and 2.0 models.

How do I use Gemini MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Gemini MCP Server generate an image of a cyberpunk city in a collage style" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Gemini MCP Server

A Model Context Protocol (MCP) server for Google Gemini API integration with Claude Code. Provides text generation, image analysis, creative brainstorming, multi-turn chat, and AI image generation.

Features

Tool	Description
`gemini_generate`	Generate text content (writing, analysis, code)
`gemini_analyze_image`	Analyze images with vision capabilities
`gemini_brainstorm`	Creative brainstorming for zines, articles, content
`gemini_chat`	Multi-turn conversations with memory
`gemini_list_conversations`	List active chat sessions
`gemini_clear_conversation`	Clear a chat session
`gemini_zine_page`	Generate zine page content with layout suggestions
`gemini_generate_image`	Generate images using Gemini's image models

Setup

1. Clone the repository

git clone https://github.com/jeffemmett/gemini-mcp.git ~/.claude/mcp-servers/gemini cd ~/.claude/mcp-servers/gemini npm install

2. Get a Gemini API Key

Go to Google AI Studio
Create a new API key
Copy the key

3. Set your API key

Add to your shell profile (~/.bashrc, ~/.zshrc, or ~/.config/fish/config.fish):

# Bash/Zsh export GEMINI_API_KEY="your_api_key_here" # Fish set -gx GEMINI_API_KEY "your_api_key_here"

Then reload your shell or run source ~/.bashrc.

4. Configure Claude Code

Add to your project's .mcp.json or global MCP config:

{ "mcpServers": { "gemini": { "command": "node", "args": ["/path/to/.claude/mcp-servers/gemini/index.js"], "env": { "GEMINI_API_KEY": "${GEMINI_API_KEY}" } } } }

Replace /path/to/ with your actual home directory path (e.g., /home/username/ or /Users/username/).

Optional Configuration

Output Directory

Generated images and saved outputs go to ~/Documents/gemini-output/ by default. Override with:

export GEMINI_OUTPUT_DIR="/your/preferred/path"

Usage Examples

Once configured, the tools are available in Claude Code:

Text Generation:

Use gemini_generate to write a haiku about programming

Image Analysis:

Use gemini_analyze_image to describe /path/to/image.jpg

Creative Brainstorming:

Use gemini_brainstorm for a zine about urban gardening with punk style

Image Generation:

Use gemini_generate_image to create a collage-style illustration of a mushroom forest

Models Used

Text: gemini-1.5-flash (default), gemini-1.5-pro, gemini-2.0-flash-exp
Images: gemini-2.0-flash-exp-image-generation

License

MIT

This server cannot be installed

-

security - not tested

F

license - not found

-

quality - not tested

How are these scores calculated?

Resources

Need Help?

Report Issue

Related Servers

Gemini MCP Server

Gemini MCP Server

Features

Setup

1. Clone the repository

2. Get a Gemini API Key

3. Set your API key

4. Configure Claude Code

Optional Configuration

Output Directory

Usage Examples

Models Used

License

Resources

New MCP Servers

Latest Blog Posts

MCP directory API