What does Gridscale MCP do that a direct API client doesn’t?
It bridges the Gridscale API with LLM interfaces via the Model Context Protocol, allowing AI models to manage resources conversationally or programmatically without writing raw API calls.
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基本信息
MCP Server to interact with the Gridscale API
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Gridscale MCP is a Model Context Protocol server that lets AI models interact with the Gridscale API, enabling LLM-driven infrastructure provisioning in a Gridscale project. It is intended for use with MCP-compatible clients such as 5ire.
Build the binary from source with make build, then install it to your $PATH with make install. Run the server with --user-key and --user-token arguments. Configure it as a tool in your MCP client — for example, in 5ire, add a JSON entry with the command gridscale-mcp and the two arguments.
create_server and create_network are not yet implemented.It bridges the Gridscale API with LLM interfaces via the Model Context Protocol, allowing AI models to manage resources conversationally or programmatically without writing raw API calls.
You need a Go environment to build the binary. Once built, it runs as a standalone executable with no additional runtime dependencies.
All operations are performed against the Gridscale public API. The server itself does not store any data locally; credentials and API interactions are handled through the user-provided key and token.
Yes. Only `create_ip`, `delete_ip`, `create_storage` (partial support), and `get_storage_templates` are currently functional. `create_server` and `create_network` are listed as wanted but not yet implemented.
You must pass your Gridscale user key and user token as command-line arguments (`--user-key` and `--user-token`). The server uses these credentials to authenticate with the Gridscale API.
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