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?
- Building a simple server-client architecture for AI applications.
- Demonstrating how to use Gemini for automated tool selection.
- 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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