Gcore Cloud Mcp Server

Name: Gcore Cloud Mcp Server
Author: G-Core

@G-Core

代码仓库

关于 Gcore Cloud Mcp Server

Gcore MCP Server makes your AI assistant:

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

基本信息

分类

其他

传输方式

stdio

发布者

G-Core

提交者

Frankonero19

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.*"
      }
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

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.

FAQ from Gcore Cloud Mcp Server

What toolsets does Gcore Cloud Mcp Server provide?

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

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.*).

What transport modes are supported?

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

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.

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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