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Gcore Cloud MCP Server

@G-Core

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

G-Core

投稿者

Frankonero19

Gcore Cloud MCP Server について

Gcore MCP Server makes your AI assistant:

#cloud#baremetal#management#vps#vds#vm#virtual-machines#gpu

Gcore Cloud MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "gcore-mcp-server": {
      "command": "uvx",
      "args": [
        "--from",
        "gcore-mcp-server@git+https://github.com/G-Core/gcore-mcp-server.git",
        "gcore-mcp-server"
      ],
      "env": {
        "GCORE_API_KEY": "24590$.....234",
        "GCORE_TOOLS": "instances,management,cloud.gpu_baremetal_clusters.*"
      }
    }
  }
}

Gcore Cloud MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Gcore Cloud Mcp Server?

Gcore Cloud Mcp Server is an MCP server that exposes Gcore’s cloud API tools to LLM assistants, allowing them to manage cloud resources through predefined tool sets. It is intended for DevOps and cloud automation workflows.

How to use Gcore Cloud Mcp Server?

Install with uv tool install "gcore-mcp-server@git+https://github.com/G-Core/gcore-mcp-server.git" and run gcore-mcp-server. Configure resource categories via the GCORE_TOOLS environment variable (e.g., management,instances or wildcard patterns like cloud.instances.*). Point your LLM client at the HTTP endpoint or use stdio mode to start issuing MCP requests.

Key features of Gcore Cloud Mcp Server

  • Nine predefined toolsets covering cloud operations.
  • Support for HTTP and stdio transport modes.
  • Configurable tool selection via GCORE_TOOLS environment variable.
  • Wildcard patterns for fine-grained API access control.
  • Optional integration with MCP Inspector for debugging.

Use cases of Gcore Cloud Mcp Server

  • Spinning up GPU clusters for HPC and rendering workloads.
  • Auditing cloud resource costs and usage.
  • Tearing down test environments automatically.
  • Managing full VM lifecycle (create, stop, reboot, resize, snapshot).
  • Automating account, project, and permission management.

よくある質問

1

What toolsets does Gcore Cloud Mcp Server provide?

It provides nine predefined toolsets: management, instances, volumes, networks, baremetal, gpu_baremetal, cleanup, list, and more.

2

How do I control which tools the server exposes?

Set the `GCORE_TOOLS` environment variable with a comma-separated list of toolset names or wildcard patterns (e.g., `management,instances` or `cloud.instances.*`).

3

What transport modes are supported?

HTTP and stdio modes are supported. HTTP defaults to `management,instances`, and stdio defaults to `management`.

4

How do I install and run Gcore Cloud Mcp Server?

Install using `uv tool install "gcore-mcp-server@git+https://github.com/G-Core/gcore-mcp-server.git"` and then run `gcore-mcp-server`.

5

Can I debug the server’s interactions?

Yes, you can use MCP Inspector (`npx @modelcontextprotocol/inspector`) to explore tools, test calls, and monitor LLM-server traffic in real time.

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