poly-cloud-mcp
Unified MCP server for managing cloud resources across AWS, Google Cloud, Azure, and DigitalOcean by wrapping their CLI tools.
README
🌐 poly-cloud-mcp - Simplify Multi-Cloud Management
🚀 Getting Started
Welcome to poly-cloud-mcp! This software helps you manage multiple cloud services from one place. Whether you use AWS, GCP, Azure, or DigitalOcean, this tool makes it easy to control your cloud resources.
📥 Download the Software
To get started, click the button above to download the latest version of poly-cloud-mcp.
💾 Download & Install
-
Visit this page to download: Go to the Releases page.
-
Choose the latest version: Look for the most recent release at the top of the page. This version includes the latest features and fixes.
-
Download the file: Click on the file that matches your operating system. You will see options for Windows, macOS, and Linux.
-
Install the software:
- On Windows: Run the downloaded
.exefile and follow the on-screen instructions. - On macOS: Open the
.dmgfile, then drag and drop the application into your Applications folder. - On Linux: Extract the downloaded
.tar.gzfile and follow the included instructions to install.
- On Windows: Run the downloaded
📊 Key Features
- Multi-Cloud Support: Manage resources across AWS, GCP, Azure, and DigitalOcean seamlessly.
- Simple Interface: Navigate easily through a user-friendly design.
- Unified Dashboard: View and control all your cloud services in one place.
- Resource Management: Monitor usage and manage costs effectively.
- Security: Keep your data safe with built-in security features.
💻 System Requirements
To run poly-cloud-mcp, make sure your system meets the following requirements:
-
Operating System:
- Windows 10 or later
- macOS Mojave (10.14) or later
- A recent version of any major Linux distribution
-
Memory: At least 4GB of RAM
-
Storage: At least 200MB of free disk space
-
Dependencies:
- .NET Framework for Windows
- Homebrew for macOS (optional, for easy installation of dependencies)
📚 How It Works
poly-cloud-mcp connects to various cloud providers through secure APIs. You will first need to set up API keys for each cloud provider you want to manage. Follow the instructions below:
-
Obtain API Keys:
- For AWS, visit the IAM console to create a new user. Make sure to enable programmatic access and attach the necessary permissions.
- For GCP, create a service account from the IAM & Admin section. Download the JSON key file.
- For Azure, register an application in the Azure portal and obtain the client ID and secret.
- For DigitalOcean, you can create a new personal access token in your account settings.
-
Configure the Application:
- Open poly-cloud-mcp and navigate to the settings page.
- Enter your API keys in the designated fields.
- Save your settings to connect the application to your cloud accounts.
🚧 Troubleshooting
If you encounter any issues, consider the following:
- Failed Install: Ensure you have administrative rights during installation.
- Connection Issues: Double-check your API keys and permissions.
- Performance Problems: Make sure your system meets the specified requirements.
🔗 Useful Resources
- GitHub Issues Page: Report any bugs or request features.
- Documentation: Access detailed guides and FAQs.
- Community Forum: Join discussions and find help from other users.
📞 Support
For further assistance, you can reach out through GitHub Issues. We strive to respond promptly to all inquiries.
Thank you for choosing poly-cloud-mcp! Enjoy managing your cloud resources effortlessly!
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。