Gridscale MCP

What is Gridscale MCP?

Gridscale MCP is a server that enables AI models to interact with the Gridscale API, facilitating infrastructure provisioning through AI.

How to use Gridscale MCP?

To use Gridscale MCP, build the program using Go, install the binary, and run it with your Gridscale API credentials. You can integrate it with tools like 5ire to manage your infrastructure.

Key features of Gridscale MCP?

• Allows AI models to provision infrastructure via the Gridscale API.
• Supports various tools for creating and managing IPs, storage, servers, and networks.
• Provides a debugging tool (MCP Inspector) for direct communication with the MCP server.

Use cases of Gridscale MCP?

1. Automating the creation of cloud resources using AI.
2. Managing infrastructure in a Gridscale project without manual intervention.
3. Integrating with LLMs for advanced cloud management tasks.

FAQ from Gridscale MCP?

• What are the prerequisites for using Gridscale MCP?

You need to have a built version of Gridscale MCP and valid API credentials for the Gridscale API.

• Is there a risk in using Gridscale MCP?

Yes, it is advised to use it in an empty Gridscale project to avoid accidental data loss.

• Can I contribute to Gridscale MCP?

Yes, you can contribute by adding missing tools or resources.