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MCP Server Client Tutorial

by mkcod

This tutorial guides you through building a Model Context Protocol (MCP) server and client with a graphical user interface using Python. MCP facilitates communication between language models and tool providers, enabling powerful AI-based applications.

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What is MCP Server Client Tutorial?

This is a step-by-step guide to create an MCP server and client using Python. The server defines tools that clients can call, and the client provides a user interface to interact with the server.

How to use MCP Server Client Tutorial?

  1. Set up the development environment with Python and necessary packages.
  2. Build the MCP server by creating a project, setting up a virtual environment, and implementing server functionality in server.py.
  3. Run the server using python -m server_project_name.server.
  4. Build the MCP client by creating a project, setting up a virtual environment, and implementing client functionality in client.py.
  5. Add a UI using Tkinter in client_ui.py.
  6. Run the client and connect to the server to call tools and view results.

Key features of MCP Server Client Tutorial

  • Step-by-step guide for building an MCP server and client

  • Implementation of a basic MCP server with an addition tool

  • Implementation of an MCP client to connect and call server tools

  • Integration of a graphical user interface (UI) using Tkinter

  • Asynchronous operation handling in Tkinter

  • Clear instructions for testing and extending the system

Use cases of MCP Server Client Tutorial

  • Facilitating communication between language models and tool providers

  • Enabling AI-based applications with client-server interaction

  • Creating custom tools and exposing them through an MCP server

  • Developing user interfaces to interact with AI tools

  • Building a system for remote execution of tasks by a server

FAQ from MCP Server Client Tutorial

What is MCP?

MCP stands for Model Context Protocol, designed to facilitate communication between language models and tool providers.

What are the prerequisites for this tutorial?

You need a Windows or Mac computer with Python installed, familiarity with Python programming, basic understanding of asynchronous programming, and knowledge of UI development concepts.

How do I run the MCP server?

Navigate to the server project directory and run python -m server_project_name.server.

How do I run the MCP client UI?

Navigate to the client project directory and run python client_ui.py.

How can I extend the system?

You can add more tools to the server, enhance the client UI, implement authentication, add support for multiple connections, and create more advanced visualizations.