Simple MCP Server & Client Sample (with Gemini Function Calling)

What is Simple MCP Server & Client Sample (with Gemini Function Calling)?

This repository provides minimal examples of an MCP (Model Context Protocol) server and client. It demonstrates how to let a Gemini LLM automatically select which tool to call using function calling, based on context such as time of day.

How to use Simple MCP Server & Client Sample (with Gemini Function Calling)?

Install dependencies with uv init, uv add google-genai, uv add fastmcp. Set the GEMINI_API_KEY environment variable. Run python mcp_simple_client1.py for a basic client or python mcp_simple_client2.py for the Gemini‑integrated client that automatically chooses between the greet and farewell tools.

Key features of Simple MCP Server & Client Sample (with Gemini Function Calling)

• Minimal MCP server and client implementations
• Gemini function calling automatically selects tools
• Two sample tools: greet and farewell
• Built with the fastmcp and google-genai libraries
• Works with Python 3.10+ and recommended uv for speed

Use cases of Simple MCP Server & Client Sample (with Gemini Function Calling)

• Learning the minimum structure of an MCP server and client
• Demonstrating how an LLM (Gemini) can call different tools based on context
• Starting point for quickly building custom MCP‑powered AI agents