MCP Server Example Xcz
A simple example of MCP server implementation, providing greeting and echo functions, and supporting debugging in development mode.
rating : 2 points
downloads : 6.3K
What is an MCP server?
The MCP (Model Context Protocol) server is a lightweight service framework that allows developers to quickly build and deploy AI model services. This example demonstrates the most basic implementation of MCP server functions.How to use the MCP server?
The server can be started via a simple command line, supporting two running modes: standard mode and development mode.Applicable scenarios
Suitable for rapid prototype development, teaching demonstrations, and small-scale AI service deployment scenarios.Main features
Greeting function
Provides a simple greeting response for testing the basic functions of the server
Echo function
Returns the received input content as it is for testing the communication link
Advantages
Easy to use and quick to get started
Supports development and debugging mode
Lightweight with low resource consumption
Limitations
Relatively basic functions
Lacks advanced features such as load balancing
Limited documentation and community support
How to use
Install dependencies
Ensure that Python 3.13+ and necessary dependency packages are installed on the system
Start the server
Run the server script directly using Python
Development mode (optional)
Start the development server using the MCP CLI tool
Usage examples
Test the greeting function
Send a greeting request to the server to verify if the basic functions are working properly
Test the echo function
Send an arbitrary string to the server to verify the communication link
Frequently Asked Questions
What should I do if it prompts that the Python version is incompatible during startup?
What's special about the development mode?
How to expand more functions?
Related resources
MCP official documentation
The official documentation of the MCP protocol
GitHub repository
The source code repository of this example
Python httpx documentation
Documentation for the HTTP client library

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
17.5K
4.5 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
28.6K
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
17.5K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
53.9K
4.3 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
51.3K
4.5 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#
24.3K
5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
17.2K
4.5 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
75.7K
4.7 points

