About Gridscale MCP
Gridscale MCP is an MCP server published by fabiante in the Developer Tools category: mCP Server to interact with the Gridscale API.
The repository has 2 stars and 0 forks, with the last commit 8 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/fabiante/gridscale-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (1)
Resget_storage_templates
Parameters not published.
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Security checks
Static checks derived from the repository 1 hours ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
Releases
README
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:
| Type | Name | Note | Supported | Support Wanted |
|---|---|---|---|---|
| Tool | create_ip | Yes | ||
| Tool | delete_ip | Yes | ||
| Tool | create_storage | Not all parameters are supported | Partially | |
| Tool | create_server | No | Yes | |
| Tool | create_network | No | Yes | |
| Res | get_storage_templates | Yes |
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:
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:
# 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:
gridscale-mcp --user-key <your-gs-user-key> --user-token <your-gs-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:
{
"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:
make inspect
README fetched from the repository 1 hours ago. The original is authoritative.