How It Works
Understanding the architecture and flow of Gemini MCP Tool.
Architecture Overview
Claude Desktop/Code → MCP Protocol → Gemini MCP Tool → Gemini CLI → Gemini AI
← ← ← ←
Key Components
1. MCP Server
- Implements Model Context Protocol
- Handles communication with Claude
- Manages tool registration and execution
2. Gemini CLI Integration
- Executes
gemini
commands via subprocess - Handles file paths and context
- Manages response parsing
3. Tool Registry
- analyze: File analysis and questions
- sandbox: Safe code execution
- help: Show available commands
- ping: Test connectivity
Request Flow
- User Input → Claude Desktop receives slash command or natural language
- MCP Protocol → Claude sends request to MCP server
- Tool Execution → Server maps to appropriate Gemini CLI command
- Gemini Processing → CLI processes with Gemini's 2M token context
- Response → Results returned through MCP protocol to Claude
Why This Architecture?
- Separation of Concerns: Each component has a single responsibility
- Extensibility: Easy to add new tools or modify behavior
- Reliability: Error handling at each layer
- Performance: Async operations where possible