An educational Model Context Protocol server implementation demonstrating integration with LLM clients by providing resources, callable tools, and prompt templates to standardize AI model context access.
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This repository contains an implementation of a Model Context Protocol (MCP) server for educational purposes. This code demonstrates how to build a functional MCP server that can integrate with various LLM clients.
!MCP Diagram
This repository contains an implementation of a Model Context Protocol (MCP) server for educational purposes. This code demonstrates how to build a functional MCP server that can integrate with various LLM clients.
References:
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications - it provides a standardized way to connect AI models to different data sources and tools.
MCP follows a client-server architecture where a host application can connect to multiple servers:
MCP servers can provide three main types of capabilities:
uv
package managerAdding MCP to your python project We recommend using uv to manage your Python projects.
If you haven't created a uv-managed project yet, create one:
uv init mcp-server-sample
cd mcp-server-sample
Then add MCP to your project dependencies:
uv add "mcp[cli]
Alternatively, for projects using pip for dependencies:
pip install "mcp[cli]"
Running the standalone MCP development tools To run the mcp command with uv:
uv run mcp
Let's create a simple MCP server that exposes a calculator tool and some data:
# server.py from mcp.server.fastmcp import FastMCP # Create an MCP server mcp = FastMCP("Demo") # Add an addition tool @mcp.tool() def add(a: int, b: int) -> int: """Add two numbers""" return a + b # Add a dynamic greeting resource @mcp.resource("greeting://{name}") def get_greeting(name: str) -> str: """Get a personalized greeting""" return f"Hello, {name}!"
You can install this server in Claude Desktop and interact with it right away by running:
mcp install server.py
Alternatively, you can test it with the MCP Inspector:
mcp dev server.py
Made with ❤️ by Antonio Scapellato
This project is licensed under the MIT License. See the LICENSE file for details.
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