Gemini Tutorial
Demonstrates how to build Model Context Protocol (MCP) servers with Google's Gemini 2.0 model.
About
This tutorial provides a complete code example for building Model Context Protocol (MCP) servers using Google's Gemini 2.0 model. It showcases how to integrate external tools, such as Brave Search, into AI models through the standardized MCP interface, enabling interoperability, modularity, and a clear separation of concerns between model capabilities and tool functionalities. The project includes a basic client and a Gemini integration example, allowing users to explore the implementation and extend it with custom tools.
Key Features
- Integration with Google's Gemini 2.0 model
- Brave Search integration for web and local searches
- Demonstrates a flexible architecture for AI-powered applications
- Complete code example for building MCP servers
- 20 GitHub stars
- Includes example clients and tests
Use Cases
- Connecting AI models to external tools and resources
- Building AI-powered applications with web search capabilities
- Implementing the Model Context Protocol (MCP) standard
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