mcp-gemini-tutorial

22
cloud_platformsai_chatbotknowledge_and_memory

The project is a tutorial on building MCP servers using Google's Gemini 2.0 model, integrating Brave Search for web and local searches. It emphasizes interoperability, modularity, and a clean architecture for AI-driven applications.

MCP with Gemini Tutorial

This project provides a tutorial for building Model Context Protocol (MCP) servers using Google's Gemini 2.0 model. It covers how to:

  • Build a complete MCP server with Brave Search integration
  • Connect it to Google's Gemini 2.0 model
  • Create a flexible architecture suited for AI-powered applications

Features

  • Interoperability between AI models and tools
  • Modularity for adding or updating tools
  • Tools for web and local search via Brave Search

Getting Started

  • Prerequisites: Bun for TypeScript, Brave Search API key, and Google API key
  • Installation: Instructions to clone the repository and install dependencies

Project Structure

  • src/: Core server and tools implementation
  • examples/: Example clients
  • tests/: Tests

Extending

  • Add custom tools by defining a schema, implementing functionality, and registering with the MCP server.