MCP Server Client Tutorial Using Python
This tutorial details how to use Python to build a complete MCP (Model Context Protocol) server and client system, including the implementation of a client with a graphical interface. The MCP protocol is used for communication between language models and tool providers. The tutorial covers the entire process from environment setup, server implementation, client development to UI integration.
rating : 2.5 points
downloads : 18
What is an MCP Server?
An MCP server is a communication protocol server designed specifically for AI model and tool providers. It allows clients to call various tools and services through a standardized interface, enabling efficient AI application development.How to Use an MCP Server?
You just need to install the MCP server, configure the required tools, and then connect via the client to start using it.Applicable Scenarios
The MCP server is very suitable for application scenarios that require AI model integration, such as intelligent customer service, data analysis, and automated tasks.Main Features
Multi - tool SupportAllows defining and registering multiple tools to meet different business needs.
Asynchronous CommunicationImproves performance through an asynchronous communication mechanism and supports high - concurrency requests.
Graphical ClientProvides an intuitive graphical user interface (GUI) for easy operation by non - technical personnel.
Advantages and Limitations
Advantages
Easy to integrate multiple AI models and tools
High - performance asynchronous communication
Graphical interface simplifies operations
Limitations
Requires a certain foundation in Python programming
Some advanced features may depend on specific environments
How to Use
Install the MCP Server
Ensure that your system has the latest version of Python installed, and use the uv tool to create an MCP server project.
Configure Tools
Edit the server script to define available tools and their input - output formats.
Start the Server
Run the server script to start the MCP service.
Connect the Client
Use the MCP client to connect to the server and call tools.
Usage Examples
Example of the Addition ToolCall the 'add' tool on the MCP server for numerical calculations.
Example of Text ProcessingCall the text processing tool on the MCP server to generate a summary.
Frequently Asked Questions
What dependencies does the MCP server require?
How to add custom tools?
Does the client support a graphical interface?
Related Resources
MCP Official Documentation
Complete documentation and guides for the MCP protocol.
GitHub Code Repository
The open - source code repository for the MCP server.
YouTube Tutorial Video
An introductory tutorial video for the MCP server.
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
86
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
566
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points