%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Seminario Client Server MCP
A basic MCP client-server implementation project based on the Python SDK, including environment configuration, dependency installation, and running steps.
rating : 2 points
downloads : 8.4K
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open protocol for managing and transmitting model context information. It allows seamless collaboration between clients and servers, supporting complex task processing, such as data sharing, model inference, and real-time feedback.How to use the MCP server?
By installing the MCP client and server, you can easily set up a model workflow. Configuration and operation can be completed in just a few steps. It supports various application scenarios, including local deployment and cloud integration.Applicable Scenarios
The MCP server is very suitable for application scenarios that require high-efficiency model collaboration, such as machine learning project development, enterprise data analysis, and scientific research experiments.Main Features
Model Context Management
Supports the creation, update, and deletion of dynamic contexts to ensure data consistency.
Multi-client Support
Allows multiple clients to connect to the server simultaneously for concurrent task processing.
Cross-platform Compatibility
Supports mainstream operating systems (Windows, Linux, macOS) for easy deployment in different environments.
Advantages
High-efficiency model collaboration ability
Flexible context management mechanism
Easy to integrate into existing systems
Limitations
Some dependence on the network environment
It may take some time to get familiar with the initial configuration
How to Use
Install the MCP Server
Clone the code repository and install the dependencies according to the provided installation guide.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Configure the API Key
Insert your API key into the client.py file.
Start the Server
Run server.py to start the MCP server.
Usage Examples
Case Title: Distributed Inference
Use the MCP server to connect multiple clients for distributed inference tasks.
Case Title: Dynamic Context Management
Demonstrate how to dynamically add and delete context data.
Frequently Asked Questions
How to quickly start using the MCP server?
Does MCP support cross-language development?
Related Resources
GitHub Code Repository
The official code repository for the MCP server.
Python SDK Documentation
The official Python SDK documentation for the MCP protocol.
Video Tutorial
A video tutorial for quickly getting started with the MCP server.
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
14.8K
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
16.7K
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
23.8K
5 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.1K
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
45.0K
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#
20.3K
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
15.0K
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
29.5K
4.8 points