Polyaxon MCP

What is Polyaxon MCP?

Polyaxon MCP connects AI to Polyaxon's Kubernetes-native ML platform. Polyaxon provides experiment tracking, pipeline orchestration, and model management — all running natively on Kubernetes.

Kubernetes-Native ML

Polyaxon leverages Kubernetes for job scheduling, resource management, and scaling. AI models through Polyaxon MCP can manage experiments, monitor GPU nodes, and optimize resource allocation.

Configuration

{
  "mcpServers": {
    "polyaxon": {
      "command": "npx",
      "args": ["polyaxon-mcp"],
      "env": {
        "POLYAXON_HOST": "http://localhost:8000",
        "POLYAXON_TOKEN": "your_api_token"
      }
    }
  }
}

Use Cases

Polyaxon MCP serves ML teams running on Kubernetes, organizations needing fine-grained GPU resource management, and enterprises building self-hosted MLOps platforms.