MCP Server Code Analyzer
NestJS is a progressive framework based on Node.js for building efficient and scalable server - side applications.
rating : 2 points
downloads : 6.9K
What is the MCP server?
The MCP server is a platform specifically designed to manage and coordinate the flow of context data between different models. It supports multiple model formats and provides powerful APIs to simplify the operation process for developers.How to use the MCP server?
First, install and configure your environment, then start the service with simple commands. Next, you can add models according to your needs and interact with them.Applicable scenarios
Suitable for application scenarios that require frequent model version updates, cross - platform collaboration, and real - time data stream processing.Main Features
Multi - model support
Compatible with multiple mainstream machine learning frameworks such as TensorFlow, PyTorch, etc.
Dynamic context management
Automatically detect and adjust the context state between models to ensure optimal performance.
Advantages
Easy to integrate with existing systems
High - performance processing of large - scale data sets
Limitations
High requirements for hardware resources
Initial configuration may be relatively complex
How to Use
Install the MCP server
Install the latest version of MCP through the package manager.
Initialize the project
Create a new working directory and initialize the MCP configuration file.
Start the server
Run the command to start a local MCP instance.
Usage Examples
Case title: Load a pre - trained model
Demonstrate how to load a pre - trained deep learning model into MCP.
Case title: Real - time inference test
Show how to use MCP for real - time data inference.
Frequently Asked Questions
Does MCP support custom plugins?
How to solve the problem of insufficient memory?
Related Resources
Official Documentation
Detailed user guides and technical documentation.
GitHub Repository
Source code and community contribution page.
Video Tutorials
A series of beginner - level teaching videos.

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
 15.1K
 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
 16.2K
 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
 25.2K
 5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
 46.4K
 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# 
 19.7K
 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
 47.3K
 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
 16.3K
 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
 30.5K
 4.8 points

