MAGI Code Review
M

MAGI Code Review

The MAGI MCP Server is a server implementation of a code review system based on the Model Context Protocol (MCP), providing standardized interfaces for code submission and review processes, and supporting multi - agent reviews and majority decision - making mechanisms.
2.5 points
6.0K

What is the MAGI MCP Server?

The MAGI MCP server is a centralized platform for managing and coordinating the code review process. It connects developers, code review tools, and distributed agents through standard protocols to ensure optimal code quality.

How to use the MAGI MCP Server?

Simply submit code files, and the server will automatically assign tasks to multiple review agents and generate comprehensive evaluation results.

Applicable Scenarios

Suitable for team collaborative development, especially for complex projects that require multi - angle reviews.

Main Features

Code Submission and Review
Supports quick code submission and assignment to multiple review agents.
Distributed Agent Collaboration
Utilizes agents such as Melchior, Balthasar, and Casper for multi - level analysis.
Automated Decision - Making Mechanism
Determines the final code quality assessment based on majority voting.
Compatible with Multiple Environments
Supports local operation and containerized deployment to meet different development needs.
Advantages
Efficiently integrates multi - dimensional code review perspectives.
Supports flexible expansion to more agent types.
Reduces manual intervention costs and improves review efficiency.
Limitations
Relies on a stable network connection to ensure communication between agents.
May require additional customized configurations for non - conventional code.
The initial setup may have a certain learning curve for beginners.

How to Use

Install Dependencies
First, install Python 3.11+ and related dependencies.
Start the Server
Run the server script to start listening for requests.
Test the Client
Use the test client to submit code files for verification.

Usage Examples

Basic Code Review
Submit a simple Python script and view the comprehensive scoring results.
Run in Debug Mode
Check the detailed log output in debug mode.

Frequently Asked Questions

Does the MAGI MCP server support custom agents?
How to solve the task failure problem caused by network interruption?
Is a specific version of Python required?

Related Resources

Official Documentation
Comprehensively understand the detailed instructions of the MAGI MCP server.
GitHub Repository
Get the source code and contribute.
Demo Video
Watch the actual operation demonstration.

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
9.0K
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
9.6K
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
6.4K
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
8.8K
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
7.7K
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
7.4K
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
9.7K
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
8.9K
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
30.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
64.5K
4.3 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
22.2K
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#
27.4K
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
59.6K
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
20.2K
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
43.1K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase