ray Model Context Protocol (MCP) Server

GitHub

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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Python 1 file · ~1,632 tokens #data-science #deep-learning #deployment #distributed #hyperparameter-optimization #hyperparameter-search #large-language-models #llm

ray MCP Server

MCP server for Eventual-Inc/ray

Ready-to-Use Client Configurations

{
  "mcpServers": {
    "ray": {
      "command": "npx",
      "args": [
        "-y",
        "@Eventual-Inc/ray"
      ]
    }
  }
}

{
  "mcpServers": {
    "ray": {
      "command": "npx",
      "args": [
        "-y",
        "@Eventual-Inc/ray"
      ]
    }
  }
}

{
  "mcpServers": {
    "ray": {
      "command": "npx",
      "args": [
        "-y",
        "@Eventual-Inc/ray"
      ]
    }
  }
}

{
  "mcpServers": {
    "ray": {
      "command": "npx",
      "args": [
        "-y",
        "@Eventual-Inc/ray"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "ray": {
      "command": "npx",
      "args": [
        "-y",
        "@Eventual-Inc/ray"
      ]
    }
  }
}

docker run -i --rm mcp/ray