mcp-gemini-tutorial
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This repository contains the complete code for building Model Context Protocol (MCP) servers with Google's Gemini 2.0 model.
The Model Context Protocol (MCP) is an open standard developed by Anthropic that allows AI models to access external tools and resources seamlessly. It provides a standardized way for AI models to interact with tools, access the internet, run code, and more, without requiring custom integrations for each tool or model. This tutorial demonstrates how to build a complete MCP server with Brave Search integration and connect it to Google's Gemini 2.0 model, creating a flexible architecture for AI-powered applications. Key benefits of MCP include interoperability, modularity, standardization, and separation of concerns, which collectively reduce integration complexity and enhance the flexibility of AI systems.
Features
- Interoperability: Any MCP-compatible model can use any MCP-compatible tool.
- Modularity: Add or update tools without changing model integrations.
- Standardization: Consistent interface reduces integration complexity.
- Separation of Concerns: Clean division between model capabilities and tool functionality.
Tools
Web Search
Universal Internet Search via Brave Search API
Local Search
Find local business and location information with the Brave Search API
