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    Gridscale Mcp

    MCP Server to interact with the Gridscale API

    2 stars
    Go
    Updated Sep 30, 2025
    gridscale
    iaas
    mcp
    mcp-server

    Table of Contents

    • Features (Tools and Resources)
    • Building + Installation
    • Install
    • Usage
    • Prerequisites
    • Usage in an MCP client
    • Debugging

    Table of Contents

    • Features (Tools and Resources)
    • Building + Installation
    • Install
    • Usage
    • Prerequisites
    • Usage in an MCP client
    • Debugging

    Documentation

    Gridscale MCP

    This is a MCP Server which allows AI modells

    to interact with the Gridscale API

    You can use this with tools such as 5ire to let your LLM provision infrastructre as you wish.

    [!CAUTION]

    If you use this program, you are responsible for the consequences. You should only use this in an empty Gridscale project

    where the AI model will not cause any harm like deleting your production database.

    Features (Tools and Resources)

    With this MCP server you can use the following tools and resources:

    TypeNameNoteSupportedSupport Wanted
    Toolcreate_ipYes
    Tooldelete_ipYes
    Toolcreate_storageNot all parameters are supportedPartially
    Toolcreate_serverNoYes
    Toolcreate_networkNoYes
    Resget_storage_templatesYes

    If you want to contribute, try adding one of the above missing tools or resources.

    Building + Installation

    To build this program you need a Go environment.

    The recommended way is to use make:

    shell
    make build

    This will have created a binary called gridscale-mcp in the project directory.

    Install

    It simplifies things if you install the binary to a location in your $PATH, for example /usr/bin on Linux.

    You can use make for that:

    shell
    # Install
    make install
    
    # Uninstall
    make uninstall

    Usage

    [!CAUTION]

    If you use this program, you are responsible for the consequences. You should only use this in an empty Gridscale project

    where the AI model will not cause any harm like deleting your production database.

    Prerequisites

    You need:

    • To have a build of gridscale-mcp. Follow the steps in the Building section to first build the program.
    • Public API credentials for the Gridscale API

    Usage in an MCP client

    To run this server you need two arguments:

    shell
    gridscale-mcp --user-key  --user-token

    I recommend to use 5ire as desktop client to interact with an LLM

    and this MCP server. You are responsible for setting up an LLM (for example Gemini).

    In 5ire the MCP server is setup as tool like so:

    json
    {
      "name": "Gridscale",
      "key": "gridscale",
      "command": "gridscale-mcp",
      "args": [
        "--user-key",
        "...",
        "--user-token",
        "..."
      ]
    }

    Debugging

    You can directly communicate with you MCP server as with any other API server.

    The MCP Inspector is a great tool for this.

    If you have Node.js installed, simply run:

    shell
    make inspect

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