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

@yokoba

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

What is MCP Server & Client Sample?

MCP Server & Client Sample is a minimal implementation of a Model Context Protocol (MCP) server and client that allows machine learning models and AI agents to call external tools (APIs).

How to use MCP Server & Client Sample?

To use the MCP Server & Client Sample, install the required packages, set up your Gemini API key, and run the provided sample scripts for the server and client.

Key features of MCP Server & Client Sample?

  • Minimal examples of MCP server and client implementations.
  • Integration with Gemini for function calling based on time.
  • Easy to copy and run sample code.

Use cases of MCP Server & Client Sample?

  1. Building a simple server-client architecture for AI applications.
  2. Demonstrating how to use Gemini for automated tool selection.
  3. Learning about the Model Context Protocol in practice.

FAQ from MCP Server & Client Sample?

  • What is the purpose of this repository?

The repository serves as a reference for creating a minimal MCP server and client setup and automating tool selection with Gemini.

  • What programming language is used?

The project is implemented in Python.

  • Is there any error handling in the sample code?

No, error handling is omitted for simplicity; it is recommended to add proper validation and exception handling for production use.

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