Gemini MCP Server Enhanced v2.5

A powerful Model Context Protocol (MCP) server that provides comprehensive access to Google's Gemini 2.5 Pro Preview AI capabilities, including text generation, image analysis, code generation, chat conversations, and more. Powered by the most advanced Gemini 2.5 Pro model with thinking capabilities and 1M token context window (2M coming soon).

Features

Core Capabilities

- Full MCP protocol support with stdio transport for Claude Desktop - WebSocket support for custom integrations - Real-time response streaming - Secure API key handling - TypeScript implementation with ES modules

🚀 Text Generation

- generate_text - Generate text with customizable temperature and token limits

🖼️ Image Analysis

- analyze_image - Analyze images and answer questions about them - extract_text_from_image - Extract text (OCR) from images - compare_images - Compare multiple images and describe differences/similarities

💻 Code Generation & Analysis

- generate_code - Generate code in specific programming languages with framework support - explain_code - Analyze and explain code with detailed breakdowns - refactor_code - Suggest improvements and refactor code based on goals - convert_code - Convert code between programming languages

💬 Chat Conversations

- chat - Have conversations with context memory and session management - clear_chat_history - Clear conversation history for a session - summarize_conversation - Get a summary of the conversation

✍️ Content Creation

- translate_text - Translate text between languages - summarize_text - Create summaries in various styles (brief, detailed, bullet-points, executive) - rewrite_text - Rewrite text in different styles or for different audiences - generate_structured_data - Generate structured data (JSON, YAML, CSV, XML, TOML)

🛡️ Safety & Moderation

- check_content_safety - Analyze content for safety issues across multiple categories - moderate_text - Filter and clean inappropriate content with different moderation levels

Installation

1. Clone the repository

   git clone https://github.com/ivangrynenko/mcp-server-gemini.git

   cd mcp-server-gemini

   

2. Install dependencies

   npm install

   

3. Build the project

   npm run build

   

Quick Start

1. Get Gemini API Key
- Visit Google AI Studio
- Create a new API key

2. Configure Claude Desktop
- Locate your config file:

     Mac: ~/Library/Application Support/Claude/claude_desktop_config.json

     Windows: %APPDATA%\Claude\claude_desktop_config.json

     Linux: ~/.config/Claude/claude_desktop_config.json

     

- Add Gemini configuration:

     {

       "mcpServers": {

         "gemini": {

           "command": "node",

           "args": ["/path/to/mcp-server-gemini/dist/stdio.js"],

           "env": {

             "GEMINI_API_KEY": "your_api_key_here"

           }

         }

       }

     }

     

3. Restart Claude Desktop

Usage Examples

Once configured, you can use these tools in Claude Desktop:

Text Generation

Use the generate_text tool to write a creative story about space exploration

Image Analysis

Use the analyze_image tool to describe what's in /path/to/image.jpg

Code Generation

Use the generate_code tool to create a Python REST API with FastAPI

Chat Conversations

Use the chat tool with sessionId "project-discussion" to start a conversation about machine learning

Content Creation

Use the translate_text tool to translate "Hello, world!" to Spanish

Documentation

- Claude Desktop Setup Guide - Detailed setup instructions
- Examples and Usage - Usage examples and advanced configuration
- Implementation Notes - Technical implementation details
- Development Guide - Guide for developers
- Troubleshooting Guide - Common issues and solutions

Local Development

```bash