What toolsets does Gcore Cloud Mcp Server provide?
It provides nine predefined toolsets: management, instances, volumes, networks, baremetal, gpu_baremetal, cleanup, list, and more.
G
Gcore Cloud MCP Server
@G-Core
Basic information
About Gcore Cloud MCP Server
Gcore MCP Server makes your AI assistant:
Gcore Cloud MCP Server config
Add this server to your MCP-compatible client using the configuration below.
{
"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 tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Overview
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_TOOLSenvironment 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.
Frequently asked questions
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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