MCP with Gemini Tutorial

Name: MCP with Gemini Tutorial
Author: GuiBibeau

@GuiBibeau

リポジトリ

MCP with Gemini Tutorial について

Building MCP Servers with Google Gemini

#mcp #gemini #tutorial

基本情報

カテゴリ

AI とエージェント

ランタイム

node

トランスポート

stdio

公開者

GuiBibeau

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-gemini-tutorial": {
      "command": "bun",
      "args": [
        "examples/basic-client.ts"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP with Gemini Tutorial?

It is a tutorial repository that provides the complete code for building a Model Context Protocol (MCP) server with Google's Gemini 2.0 model. The server integrates Brave Search and exposes tools for web and local search.

How to use MCP with Gemini Tutorial?

Install dependencies with Bun, set up your Brave Search and Google API keys in a .env file, then run one of the example clients: bun examples/basic-client.ts or bun examples/gemini-tool-function.ts. The server can also be extended with custom tools by defining a schema and registering them.

Key features of MCP with Gemini Tutorial

Complete MCP server with Brave Search integration
Two implemented tools: Web Search and Local Search
Example clients for basic and Gemini‑powered usage
Easy to extend with custom tools and schemas
Uses Bun for fast TypeScript execution

Use cases of MCP with Gemini Tutorial

Learning to build MCP servers with Gemini 2.0
Implementing AI‑powered search functionality
Prototyping AI applications with web and local search capabilities
Understanding MCP architecture and modular tool design

FAQ from MCP with Gemini Tutorial

What is the Model Context Protocol (MCP)?

MCP is an open standard developed by Anthropic that enables AI models to seamlessly access external tools and resources. It provides interoperability, modularity, and a standardized interface for tool integration.