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Building a Simple MCP Server in Python Using the MCP Python SDK

@ruslanmv

The Model Context Protocol (MCP) is a standardized way to supply context to large language models (LLMs). Using the MCP Python SDK, you can build servers that expose data (resources), functionality (tools), and interaction templates (prompts) to LLM applications in a secure and modular fashion. In this tutorial, we’ll build a simple MCP server in P
Overview

What is Simple MCP Server?

The Simple MCP Server is a tutorial project that demonstrates how to build a server using the Model Context Protocol (MCP) with the MCP Python SDK. It allows developers to expose data, functionality, and interaction templates to large language models (LLMs) in a secure and modular way.

How to use Simple MCP Server?

To use the Simple MCP Server, follow the tutorial to set up your environment, install the MCP Python SDK, and create a server that exposes tools and resources. You can run the server and interact with it using the MCP Inspector or a Python client.

Key features of Simple MCP Server?

  • Exposes resources and tools to LLM applications.
  • Supports dynamic greeting resources and calculator tools.
  • Provides a user-friendly interface through the MCP Inspector for testing and interaction.

Use cases of Simple MCP Server?

  1. Building interactive applications that require context-aware responses from LLMs.
  2. Creating modular servers that can be extended with additional tools and resources.
  3. Facilitating the development of AI applications that require structured interactions.

FAQ from Simple MCP Server?

  • What is the Model Context Protocol (MCP)?

    MCP is a standardized way to supply context to large language models, allowing for better interaction and functionality.

  • Is the MCP Python SDK required?

    Yes, the MCP Python SDK is necessary to build and run the MCP server.

  • Can I add more tools to the server?

    Yes, you can extend the server by adding more tools and resources as needed.

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