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MCP Server Manager V2a

MCP Server Manager is a tool for managing MCP (Model Control Protocol) servers. It provides command-line and graphical interfaces, supports the creation, configuration, and monitoring of local servers, and is compatible with Windows and macOS systems.
2.5 points
19

What is MCP Server Manager?

MCP Server Manager is a tool that helps developers and ordinary users easily create, configure, and manage local MCP (Model Control Protocol) servers. It provides both graphical interface and command-line operation modes, allowing you to conveniently control local AI model servers.

How to use MCP Server Manager?

After installation, you can add, start, and stop MCP servers through a simple graphical interface. These servers can be immediately used in conjunction with applications such as Cursor or Claude Desktop.

Applicable scenarios

Suitable for users who need to test AI models locally, develop custom model interfaces, or optimize model performance. Especially suitable for Cursor and Claude Desktop users who want to use custom models.

Main features

Dual interface supportProvides both graphical interface (GUI) and command-line interface (CLI) operation modes to meet different user preferences
Server managementEasily start, stop, and monitor multiple MCP server processes
Automatic integrationAutomatically detects and integrates with Cursor and Claude Desktop without manual configuration
Cross-platform supportSupports Windows and macOS systems. Linux support is under development
Server importAllows importing existing MCP servers for easy migration and management

Advantages and limitations

Advantages
A simple and easy-to-use graphical interface that lowers the technical threshold
Automatically manages server processes, avoiding the complexity of manual operations
Real-time log viewing for easy debugging and monitoring
Manages multiple servers simultaneously to improve work efficiency
Seamless integration with Cursor/Claude Desktop
Limitations
Currently only supports local servers and does not support remote connections
Linux support is not yet perfect
Lacks advanced monitoring and performance analysis tools
Support for custom models requires some technical knowledge

How to use

Installation preparation
Ensure that Python 3.10 or a higher version is installed
Clone the repository
Get the project code from GitHub
Install dependencies
Install all Python packages required for running
Quick setup
Run the setup script to complete the initial configuration
Start the interface
Use a simple command to start the graphical interface

Usage examples

Create a local test serverCreate an MCP server for local testing in Cursor
Import an existing serverImport an existing Python MCP server into the manager
View real-time logsMonitor the output information of the server during runtime

Frequently Asked Questions

Do I need programming knowledge to use this tool?
Why did my server stop after closing the interface?
How can I make Cursor recognize the server I created?
Which AI models are supported?
How can I update to the latest version?

Related resources

GitHub repository
Project source code and the latest version
MIT License
The open-source license used by the project
Python official website
Download the Python runtime environment
Cursor official website
Learn about the Cursor editor
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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