CloudStack MCP
Overview
What is CloudStack MCP?
CloudStack MCP is a Model Context Protocol (MCP) server designed for Apache CloudStack, enabling AI agents to interact with CloudStack infrastructure.
How to use CloudStack MCP?
To use CloudStack MCP, install the necessary dependencies, clone the repository, and start the server using Docker. You can then interact with the server through various clients like Cursor or Claude Desktop.
Key features of CloudStack MCP?
- Allows AI assistants to manage CloudStack resources.
- Translates MCP protocol requests into CloudStack API calls.
- Provides common operations like VM deployment and management.
- Handles authentication and API interaction automatically.
Use cases of CloudStack MCP?
- Managing virtual machines in CloudStack.
- Automating resource management tasks for AI agents.
- Integrating AI capabilities with CloudStack infrastructure.
FAQ from CloudStack MCP?
- Is CloudStack MCP stable for production use?
No, it is currently a proof of concept and still under development.
- What dependencies are required to run CloudStack MCP?
You need Go, Docker, and the CLI tools specified in the documentation.
- Can I use CloudStack MCP with other AI platforms?
Yes, it is designed to work with various AI platforms that support the MCP protocol.
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