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Google Gemini MCP Server

MCP server for Google Gemini AI

geminigoogleaillmembeddings

About

## Gemini MCP Server: Google AI Integration The **Gemini MCP Server** connects Google Antigravity to Google's Gemini family of AI models. This integration provides access to Google's most capable models for text, code, vision, and multimodal applications. ### Why Gemini MCP? Gemini offers Google's AI excellence: - **Multimodal**: Native text, image, audio, video understanding - **Long Context**: 1M+ token context for massive documents - **Code Generation**: Strong coding capabilities - **Grounding**: Connect to Google Search for current info - **Cost Effective**: Competitive pricing ### Key Features #### 1. Text Generation ```python import google.generativeai as genai genai.configure(api_key="your-key") model = genai.GenerativeModel("gemini-1.5-pro") response = model.generate_content( "Explain microservices architecture with examples" ) print(response.text) ``` #### 2. Multimodal Input ```python import PIL.Image # Analyze images with text image = PIL.Image.open("architecture.png") response = model.generate_content([ "Describe this system architecture diagram and identify potential issues", image ]) print(response.text) ``` #### 3. Chat Conversations ```python chat = model.start_chat(history=[]) response = chat.send_message("What is dependency injection?") print(response.text) response = chat.send_message("Show me an example in Python") print(response.text) ``` ### Configuration ```json { "mcpServers": { "gemini": { "command": "npx", "args": ["-y", "@anthropic/mcp-gemini"], "env": { "GOOGLE_API_KEY": "your-api-key" } } } } ``` ### Use Cases **Code Analysis**: Analyze large codebases with Gemini's extended context window. **Diagram Understanding**: Extract information from architecture and design diagrams. **Documentation**: Generate documentation from code with visual context. The Gemini MCP Server brings Google's multimodal AI to Antigravity development.

Installation

Configuration
{
  "mcpServers": {
    "gemini": {
      "mcpServers": {
        "gemini": {
          "env": {
            "GOOGLE_API_KEY": "YOUR_GOOGLE_API_KEY"
          },
          "args": [
            "-y",
            "mcp-server-gemini"
          ],
          "command": "npx"
        }
      }
    }
  }
}

How to Use

  1. 11. Get API key from ai.google.dev
  2. 22. Text generation and image analysis
  3. 33. Embeddings and token counting

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