MCP cover image
See in Github
2025-04-08

POC:具有OpenAI代理SDK的MCP服务器

1

Github Watches

0

Github Forks

1

Github Stars

🚀 MCP-AWS: AI Agent for AWS EC2 Management

Welcome to MCP-AWS, a simple yet powerful AI-driven application that leverages OpenAI Agents and MCP servers to manage AWS EC2 instances. This app allows you to provision and terminate EC2 instances using natural language commands in your terminal. 🖥️✨


🎥 Demo Video

Watch the demo video to see MCP-AWS in action! 🚀

Watch the Demo


🌟 Features

  1. Provision EC2 Instances: Just tell the AI agent to create an EC2 instance, and it will handle the rest, providing you with the instance ID. 🛠️
  2. Terminate EC2 Instances: Provide the instance ID, and the agent will terminate the instance for you. ❌
  3. MCP Server Integration: Explore how custom MCP servers can be created and integrated with OpenAI Agents SDK. 🧩

🛠️ Tools in the MCP Server

The MCP server is a custom server with two tools:

  1. initiate_aws_ec2_instance: Creates an AWS EC2 instance.
  2. terminate_aws_ec2_instance: Terminates an AWS EC2 instance by its ID.

🚀 Getting Started

Prerequisites

  1. Python 3.12+ (for local setup) or Docker (for containerized setup)
  2. AWS IAM Role: Create an IAM role with the necessary permissions to manage EC2 instances.
  3. Environment Variables: Prepare a .env file with the following variables:
    • AWS_ACCESS_KEY_ID
    • AWS_SECRET_ACCESS_KEY
    • AWS_DEFAULT_REGION
    • OPENAI_API_KEY
    • AMI_ID
    • INSTANCE_TYPE
    • KEY_NAME
    • SECURITY_GROUP_IDS
    • AWS_REGION

🏃‍♂️ Running the App

  1. Clone the repository:
    git clone https://github.com/anirban1592/mcp-server-aws.git
    cd mcp-aws
    
  2. Create .env file as shown in prerequisites

Option 1: Docker Setup (Recommended)

  1. Build the Docker image:
    docker image build -t my-mcp .
    
  2. Run the container:
    docker container run -it my-mcp
    

Option 2: Local Setup

  1. Create and activate virtual environment:

    pip install uv
    uv venv .venv
    # Windows
    .venv\Scripts\activate
    # Unix/MacOS
    source .venv/bin/activate
    
  2. Run the application:

    cd openai-agent/
    uv run agent.py
    

💬 Using the AI Agent

  1. To create an EC2 instance:

    Enter your command: Create an EC2 instance
    
  2. To terminate an EC2 instance:

    Enter your command: Terminate EC2 instance with ID <instance-id>
    

⚠️ Word of Caution

  • IAM Role and Credentials: Please create AWS IAM roles and credentials at your own risk. Ensure you follow AWS best practices for security.
  • Billing and Security: This app is a proof of concept (POC) and is intended for learning purposes only. We are not responsible for any billing issues or security incidents.

📚 Learnings

This project demonstrates:

  1. How to integrate MCP servers with OpenAI Agents SDK
  2. How to build a simple AI-driven application for AWS resource management

Enjoy exploring the power of AI and MCP servers! 🌟

相关推荐

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Alexandru Strujac
  • Efficient thumbnail creator for YouTube videos

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • Lists Tailwind CSS classes in monospaced font

  • https://zenepic.net
  • Embark on a thrilling diplomatic quest across a galaxy on the brink of war. Navigate complex politics and alien cultures to forge peace and avert catastrophe in this immersive interstellar adventure.

  • apappascs
  • 发现市场上最全面,最新的MCP服务器集合。该存储库充当集中式枢纽,提供了广泛的开源和专有MCP服务器目录,并提供功能,文档链接和贡献者。

  • ShrimpingIt
  • MCP系列GPIO Expander的基于Micropython I2C的操作,源自ADAFRUIT_MCP230XX

  • modelcontextprotocol
  • 模型上下文协议服务器

  • Mintplex-Labs
  • 带有内置抹布,AI代理,无代理构建器,MCP兼容性等的多合一桌面和Docker AI应用程序。

  • ravitemer
  • 一个功能强大的Neovim插件,用于管理MCP(模型上下文协议)服务器

  • jae-jae
  • MCP服务器使用剧作《无头浏览器》获取网页内容。

  • patruff
  • Ollama和MCP服务器之间的桥梁,使本地LLMS可以使用模型上下文协议工具

  • pontusab
  • 光标与风浪冲浪社区,查找规则和MCP

  • WangRongsheng
  • 🧑‍🚀 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)|摘要世界上最好的LLM资源。

    Reviews

    3 (1)
    Avatar
    user_hExfsFEu
    2025-04-17

    As a dedicated user of mcp-server-aws, I can confidently say that it is a robust and reliable solution for managing servers on AWS. Developed by anirban1592, this tool has streamlined our deployment processes significantly, ensuring efficiency and ease of use. The documentation is thorough and the welcoming information was very helpful for getting started. Highly recommend for anyone working with AWS!