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Gcore Cloud MCP Server

@G-Core

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

G-Core

提交者

Frankonero19

关于 Gcore Cloud MCP Server

Gcore MCP Server makes your AI assistant:

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

Gcore Cloud MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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.

常见问题

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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