Cover image
Try Now
2025-04-14

Un repositorio de pruebas para demostrar la funcionalidad de la API de GitHub

3 years

Works with Finder

0

Github Watches

0

Github Forks

0

Github Stars

MCP Test Repository

Overview

This repository serves as a test environment for demonstrating GitHub API functionality and best practices in repository management. It showcases various GitHub features and provides examples of common development workflows.

Features

  • GitHub Actions Integration
  • Issue Templates
  • Pull Request Templates
  • Project Documentation
  • Code Review Guidelines
  • Contribution Guidelines

Getting Started

Prerequisites

  • Git installed on your local machine
  • GitHub account
  • Basic understanding of Git commands

Installation

  1. Clone the repository:

    git clone https://github.com/owgee/mcp-test.git
    cd mcp-test
    
  2. Set up your development environment:

    # Example commands for setting up a Python environment
    python -m venv venv
    source venv/bin/activate  # On Windows: venv\Scripts\activate
    pip install -r requirements.txt
    

Project Structure

mcp-test/
├── docs/              # Documentation files
├── src/               # Source code
├── tests/             # Test files
├── .github/           # GitHub specific files
├── .gitignore        # Git ignore file
└── README.md         # This file

Development Workflow

Branch Strategy

  • main: Production-ready code
  • develop: Development branch
  • feature/*: New features
  • bugfix/*: Bug fixes
  • hotfix/*: Urgent production fixes

Commit Convention

We follow the Conventional Commits specification:

  • feat: New feature
  • fix: Bug fix
  • docs: Documentation changes
  • style: Code style changes
  • refactor: Code refactoring
  • test: Test updates
  • chore: Maintenance tasks

Example:

feat(auth): add user authentication system

Testing

Describe your testing strategy and how to run tests:

# Example test commands
pytest tests/

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/AmazingFeature)
  3. Commit your changes (git commit -m 'feat: add amazing feature')
  4. Push to the branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

Code Review Process

  1. All code changes require review
  2. Reviewers should focus on:
    • Code quality
    • Test coverage
    • Documentation
    • Performance implications
    • Security considerations

Issue Reporting

When reporting issues, please use the provided templates and include:

  • Clear description of the problem
  • Steps to reproduce
  • Expected vs actual behavior
  • Screenshots if applicable
  • System information

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

Acknowledgments

  • List any resources, libraries, or tools used
  • Credit any inspirations or references
  • Thank contributors

Note: This is a test repository created for demonstration purposes.

相关推荐

  • av
  • Ejecute sin esfuerzo LLM Backends, API, frontends y servicios con un solo comando.

  • 1Panel-dev
  • 🔥 1Panel proporciona una interfaz web intuitiva y un servidor MCP para administrar sitios web, archivos, contenedores, bases de datos y LLM en un servidor de Linux.

  • WangRongsheng
  • 🧑‍🚀 全世界最好的 llM 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Resumen de los mejores recursos del mundo.

  • rulego
  • ⛓️Rulego es un marco de motor de regla de orquestación de componentes de alta generación de alto rendimiento, de alto rendimiento y de alto rendimiento para GO.

  • Byaidu
  • Traducción de papel científico en PDF con formatos preservados - 基于 Ai 完整保留排版的 PDF 文档全文双语翻译 , 支持 支持 支持 支持 支持 支持 支持 支持 支持 支持 支持 支持 等服务 等服务 等服务 提供 提供 提供 提供 提供 提供 提供 提供 提供 提供 提供 提供 cli/mcp/docker/zotero

  • sigoden
  • Cree fácilmente herramientas y agentes de LLM utilizando funciones Plain Bash/JavaScript/Python.

  • hkr04
  • SDK liviano C ++ MCP (Protocolo de contexto del modelo)

  • RockChinQ
  • 😎简单易用、🧩丰富生态 - 大模型原生即时通信机器人平台 | 适配 Qq / 微信(企业微信、个人微信) / 飞书 / 钉钉 / Discord / Telegram / Slack 等平台 | 支持 Chatgpt 、 Deepseek 、 DiFy 、 Claude 、 Gemini 、 Xai 、 PPIO 、 Ollama 、 LM Studio 、阿里云百炼、火山方舟、 Siliconflow 、 Qwen 、 Moonshot 、 Chatglm 、 SillyTraven 、 MCP 等 LLM 的机器人 / Agente | Plataforma de bots de mensajería instantánea basada en LLM, admite Discord, Telegram, WeChat, Lark, Dingtalk, QQ, Slack

  • dmayboroda
  • Trapo conversacional local con contenedores configurables

  • modelscope
  • Iniciar aplicaciones de múltiples agentes empoderadas con Building LLM de manera más fácil.

    Reviews

    2.5 (2)
    Avatar
    user_QzVxmzWf
    2025-04-24

    As an avid user of mcp-test, I am highly impressed by its functionality and ease of use. The product developed by owgee seamlessly integrates with my daily workflow, enhancing productivity and efficiency. Its innovative features and user-friendly interface make it a must-have tool for professionals. Highly recommended!

    Avatar
    user_if6BotKu
    2025-04-24

    As a dedicated mcp user, I found the mcp-test by owgee to be an excellent addition to the suite. It's intuitive and seamlessly integrates into my existing workflow. I appreciate the clear and concise welcome message, which made getting started a breeze. Highly recommended for anyone looking to enhance their mcp experience!