Gemini MCP Server
About
Bridges Claude Desktop with Google's Gemini for seamless, configurable image generation via a JSON-RPC protocol that enables direct conversational image creation.
Details
- Author
- garblesnarff
- Repository
- Garblesnarff/gemini-mcp-server
- GitHub stars
- 17
- Downloads
- 250
- License
- MIT License
- Categories
- Cloud Service, AI, Other, Productivity, Developer Tools, Design, Media, Infrastructure, Frontend
- Tags
- #anthropic, #integration
Jump to
- 7 AI tools: image generation, editing, chat, audio transcription, code execution, video analysis, image analysis
- Smart Tool Intelligence: self-learning context detection and prompt enhancement
- Persistent memory of preferences across sessions with automatic migration
- Verbatim audio transcription mode capturing filler words and emotions
- Secure sandboxed Python code execution
- Supports multiple file types with defined size limits (images/audio 20MB, video 100MB)
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Gemini MCP ServerCommand (node, npx, python, etc.)nodeArguments-
Argument 1
/path/to/gemini-mcp-server/gemini-server.js
Environment-
GEMINI_API_KEY
your_api_key_here
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
1. Get your Gemini API key from Google AI Studio
2. Copy the environment template:
cp .env.example .env
3. Edit
.env and add your API key: GEMINI_API_KEY=your_actual_api_key_here
OUTPUT_DIR=/path/to/your/output/directory # Optional
DEBUG=false # Optional
npm start
git clone https://github.com/Garblesnarff/gemini-mcp-server.git
cd gemini-mcp-server
npm install
npm run dev
```
generate_image
Generate images from text descriptions using Gemini 2.0 Flash. Parameters: prompt (string, required), context (string, optional)
gemini-edit-image
Edit existing images using natural language instructions. Parameters: image_path (string, required), edit_instruction (string, required), context (string, optional)
gemini-chat
Interactive conversations with Gemini AI that learns your preferences. Parameters: message (string, required), context (string, optional)
gemini-transcribe-audio
Convert audio files to text with Smart Tool Intelligence enhancement. Parameters: file_path (string, required), language (string, optional), context (string, optional), preserve_spelled_acronyms (boolean, optional)
gemini-code-execute
Execute Python code in a secure sandbox environment. Parameters: code (string, required), context (string, optional)
gemini-analyze-video
Analyze video content for summaries, transcripts, and detailed insights. Parameters: file_path (string, required), analysis_type (string, optional), context (string, optional)
gemini-analyze-image
Extract detailed information from images including objects, text, and descriptions. Parameters: file_path (string, required), analysis_type (string, optional), context (string, optional)
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"gemini mcp server": {
"env": {
"GEMINI_API_KEY": "your_api_key_here"
},
"args": [
"/path/to/gemini-mcp-server/gemini-server.js"
],
"command": "node"
}
}
}Linux
{
"env": {
"GEMINI_API_KEY": "your_api_key_here"
},
"args": [
"/path/to/gemini-mcp-server/gemini-server.js"
],
"command": "node"
}Macos
{
"env": {
"GEMINI_API_KEY": "your_api_key_here"
},
"args": [
"/path/to/gemini-mcp-server/gemini-server.js"
],
"command": "node"
}Windows
{
"env": {
"GEMINI_API_KEY": "your_api_key_here"
},
"args": [
"/c",
"node",
"/path/to/gemini-mcp-server/gemini-server.js"
],
"command": "cmd"
}Gemini MCP Server with Smart Tool Intelligence
Welcome to the Gemini MCP Server, the first MCP server with Smart Tool Intelligence - a revolutionary self-learning system that adapts to your preferences and improves over time. This comprehensive platform provides 7 AI-powered tools with automatic prompt enhancement and context awareness.
🚀 Features Overview
🤖 7 AI-Powered Tools
- Image Generation - Create images from text prompts using Gemini 2.0 Flash - Image Editing - Edit existing images with natural language instructions - Chat - Interactive conversations with context-aware responses - Audio Transcription - Convert audio to text with optional verbatim mode - Code Execution - Run Python code in a secure sandbox environment - Video Analysis - Analyze video content for summaries, transcripts, and insights - Image Analysis - Extract objects, text, and detailed descriptions from images🧠 Smart Tool Intelligence System (First in MCP Ecosystem)
- Self-Learning - Automatically learns from successful interactions - Context Detection - Recognizes consciousness research, coding, debugging contexts - Pattern Recognition - Identifies usage patterns and user preferences - Prompt Enhancement - Refines prompts for better AI model performance - Persistent Memory - Stores learned preferences across sessions - Automatic Migration - Seamlessly upgrades preference storage📦 Quick Start
Installation
git clone https://github.com/Garblesnarff/gemini-mcp-server.git
cd gemini-mcp-server
npm install
Configuration
1. Get your Gemini API key from Google AI Studio
2. Copy the environment template:
cp .env.example .env
3. Edit
.env and add your API key: GEMINI_API_KEY=your_actual_api_key_here
OUTPUT_DIR=/path/to/your/output/directory # Optional
DEBUG=false # Optional
Running the Server
```bash
npm start
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