Quarkus MCP Server Basic Tool
Q

Quarkus MCP Server Basic Tool

A service tool based on MCP, including CLI and server - side applications, supporting interaction through the OpenAI API.
2.5 points
5.0K

What is the Basic MCP Server Tool?

This is a server tool based on the Model Context Protocol (MCP) that allows users to interact with AI models (such as OpenAI's GPT - 4) through the command - line interface (CLI). It offers a simple installation and configuration method, suitable for developers and researchers.

How to use the Basic MCP Server Tool?

To use this tool, you need to first install the dependency environment, configure the API key, and then start the server and interact with the AI model through simple command - line instructions.

Use cases

Suitable for developers who need to quickly test AI model responses, teams conducting AI application prototype design, and research projects that need to interact with multiple AI services.

Main features

Multi - model support
Supports connecting to different AI model service providers through configuration
Simple configuration
Easily configure server parameters and model selection through a JSON file
Cross - platform CLI
Provides a unified command - line interface that can run on different operating systems
Advantages
Lightweight design, fast startup
Simple configuration, easy to integrate into existing workflows
Supports multiple AI model services
Limitations
Requires manual configuration of API keys
Currently only supports basic text interaction functions
Depends on the availability of external services (such as OpenAI)

How to use

Install dependencies
First, you need to install the Java environment and the jbang tool
Get the code
Clone the project repository to the local machine
Set the API key
Obtain the API key from OpenAI and set it as an environment variable
Configure the server
Edit the server_config.json file to set the server parameters
Run the service
Use the uv tool to start the MCP client

Usage examples

Quickly test model responses
Developers can quickly start the service and test the responses of different AI models to specific prompts
Compare multiple models
Researchers can configure different model services and compare the response differences of the same prompt

Frequently Asked Questions

How to obtain an OpenAI API key?
Which AI model services are supported?
What should I do if I get the error 'command not found: jbang' when running?

Related resources

MCP protocol documentation
The official specification document of the Model Context Protocol
OpenAI API documentation
The official reference document of the OpenAI API
jbang tool official website
The official website of the jbang command - line tool

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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