%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)
Learning Ai
This is a project based on the Next.js framework, initialized with create - next - app. It supports multiple package managers to run the development server and integrates Vercel's Geist font optimization.
rating : 2.5 points
downloads : 6.6K
What is the MCP server?
The MCP server is a platform designed for model development and collaboration. It allows different teams and models to exchange context data efficiently through a unified protocol. With MCP, you can easily manage the inputs, outputs, and intermediate states of models.How to use the MCP server?
First, install the MCP server and start the service. Then, integrate it with your model through the API interface. You can define model behavior through a simple configuration file. Finally, test the connection to ensure everything runs smoothly.Applicable scenarios
The MCP server is well - suited for projects that require cross - model collaboration, complex task decomposition, or distributed computing, such as AI assistant development, multimodal learning, and large - scale data analysis.Main Features
Context Data Management
Supports storing and retrieving context data required by models for quick reuse.
Distributed Task Scheduling
Allows multiple nodes to work together to improve overall efficiency.
Secure Encrypted Transmission
Uses SSL/TLS encryption mechanism to protect data privacy.
Advantages
Improve collaboration efficiency between models
Reduce redundant workload
Support large - scale distributed deployment
Limitations
Initial configuration may be complex
It has certain dependence on the network environment
How to Use
Download and Install the MCP Server
Visit the official website to download the latest version of the MCP server and complete the deployment according to the 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 Server
Edit the configuration file `config.json` to specify the listening port and service parameters.
Start the Server
Execute the startup script to activate the MCP service.
Usage Examples
Case 1: Multi - model Collaboration
In an AI customer service system, multiple models jointly process user requests, and each model is responsible for specific tasks (such as intent recognition, sentiment analysis, etc.).
Case 2: Remote Debugging
When the model runs in a remote environment, developers can monitor its performance indicators through MCP.
Frequently Asked Questions
Does the MCP server support custom plugins?
How to ensure data security?
Related Resources
MCP Official Documentation
Detailed user manual and technical reference.
GitHub Code Repository
Open - source code and community support.
Video Tutorial
Quick - start video demonstration.
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
18.5K
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
53.8K
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#
23.2K
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
52.3K
4.5 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
18.2K
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
36.5K
4.8 points