MCP SERVER TOOL V2
M

MCP SERVER TOOL V2

An AI-driven code analysis and optimization tool integrated with MCP services, aiming to improve development efficiency and code quality, and providing functions such as security scanning, performance analysis, and automated testing.
2 points
9.1K

What is MCP Server Tool v2?

This is an intelligent code analysis platform designed for developers. It automatically detects code issues, optimizes performance through artificial intelligence technology, and is deeply integrated with the MCP protocol to support collaborative development in teams.

How to use MCP Server Tool v2?

Simply install the Node.js environment, clone the repository, and run the installation script to start the local development server and begin using it.

Use Cases

It is particularly suitable for development teams that need to continuously improve code quality, technical supervisors who conduct code reviews, and novice developers who want to learn best practices.

Main Features

AI Intelligent Analysis
Use machine learning algorithms to detect code smells and potential defects
Automatic Optimization
Refactor the code structure with one click to improve performance
Security Scan
Identify common security vulnerabilities and risks of sensitive information leakage
MCP Integration
Seamlessly connect to the Model Context Protocol to achieve distributed collaboration
Advantages
Reduce 80% of manual code review time
Support intelligent analysis of over 30 programming languages
Provide real-time visual reports and repair suggestions
Be deeply integrated with mainstream IDEs
Limitations
Require a Node.js 20+ runtime environment
The first analysis of large projects may take a long time
Some advanced functions require an internet connection

How to Use

Environment Preparation
Install Node.js 20+ and the Git version control tool
Get the Code
Clone the repository to the local development environment
Install Dependencies
Run the automated installation script
Start the Service
Start using the analysis tool

Usage Examples

Code Quality Review
Automatically check code specifications after the development of new features is completed
Performance Bottleneck Analysis
Locate performance hotspots in the application

Frequently Asked Questions

Is a paid subscription required?
Which code repositories are supported?
How can I export the analysis results?

Related Resources

Official Documentation
Complete function descriptions and API references
GitHub Repository
Source code and issue tracking
Demo Video
A 10-minute quick start guide

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.6K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
9.3K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.7K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
10.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
9.7K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
9.1K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
10.3K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.2K
4 points
N
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
19.3K
4.5 points
M
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
31.7K
5 points
G
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
22.4K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
66.7K
4.3 points
U
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#
29.2K
5 points
F
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
61.0K
4.5 points
G
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
21.1K
4.5 points
M
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
45.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase