Gridscale FAQs

Question 1

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is a standard for allowing AI models to interact with external tools and services. Gridscale MCP uses this protocol for seamless communication between AI models and the Gridscale API.

Question 2

What is Gridscale MCP?

Accepted Answer

Gridscale MCP enables AI models to interact with the Gridscale API, allowing for AI-driven provisioning and management of your cloud infrastructure. It provides a standardized interface for integrating with MCP clients.

Question 3

What are the prerequisites for using Gridscale MCP?

Accepted Answer

You need a Go environment to build Gridscale MCP and public API credentials for the Gridscale API. It's also recommended to use an MCP client like 5ire to interact with the server.

Question 4

How do I install and use Gridscale MCP?

Accepted Answer

You'll need a Go environment to build the tool using 'make build' and then install it to your PATH using 'make install'. Configure your MCP client (like 5ire) with the Gridscale API credentials and the command to run the Gridscale MCP server.

Question 5

Is it safe to use Gridscale MCP in a production environment?

Accepted Answer

It's strongly advised to use Gridscale MCP only in an empty or isolated Gridscale project initially. This prevents accidental deletion or modification of production data by the AI model during testing and configuration.

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