MCP with Gemini Tutorial
by GuiBibeau
This repository provides a tutorial on building Model Context Protocol (MCP) servers with Google's Gemini 2.0 model. It demonstrates how to create a standardized way for AI models to interact with external tools and resources.
Last updated: N/A
What is MCP with Gemini Tutorial?
This project is a tutorial demonstrating how to build a Model Context Protocol (MCP) server that integrates with Google's Gemini 2.0 model and Brave Search. MCP is an open standard that enables AI models to seamlessly access external tools and resources.
How to use MCP with Gemini Tutorial?
To use this project, clone the repository, install the dependencies using Bun, set up your environment variables with the necessary API keys (Brave Search and Google Gemini), and then run the example clients provided. The basic client and Gemini integration examples are available in the examples/ directory.
Key features of MCP with Gemini Tutorial
Interoperability between models and tools
Modularity for easy tool updates
Standardized interface for reduced integration complexity
Separation of concerns between model capabilities and tool functionality
Use cases of MCP with Gemini Tutorial
AI-powered applications requiring access to external tools
Building custom tools for AI models
Integrating AI models with web search
Creating flexible AI architectures
Standardizing AI model interactions with external resources
FAQ from MCP with Gemini Tutorial
What is MCP?
What is MCP?
MCP is an open standard developed by Anthropic that enables AI models to seamlessly access external tools and resources.
What tools are implemented in this tutorial?
What tools are implemented in this tutorial?
This tutorial implements Web Search and Local Search tools using the Brave Search API.
What are the prerequisites for running this project?
What are the prerequisites for running this project?
You need Bun, a Brave Search API key, and a Google API key for Gemini access.
How can I add my own tools?
How can I add my own tools?
You can add your own tools by defining a new tool with a schema, implementing the functionality, and registering it with the MCP server.
Where can I find more information about MCP?
Where can I find more information about MCP?
You can find more information in the official MCP documentation: https://github.com/anthropics/anthropic-cookbook/tree/main/model_context_protocol