pytorch3d Model Context Protocol (MCP) Server

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

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Python 100 files · ~20,842 tokens

pytorch3d MCP Server

MCP server for facebookresearch/pytorch3d

Ready-to-Use Client Configurations

{
  "mcpServers": {
    "pytorch3d": {
      "command": "npx",
      "args": [
        "-y",
        "@facebookresearch/pytorch3d"
      ]
    }
  }
}

{
  "mcpServers": {
    "pytorch3d": {
      "command": "npx",
      "args": [
        "-y",
        "@facebookresearch/pytorch3d"
      ]
    }
  }
}

{
  "mcpServers": {
    "pytorch3d": {
      "command": "npx",
      "args": [
        "-y",
        "@facebookresearch/pytorch3d"
      ]
    }
  }
}

{
  "mcpServers": {
    "pytorch3d": {
      "command": "npx",
      "args": [
        "-y",
        "@facebookresearch/pytorch3d"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "pytorch3d": {
      "command": "npx",
      "args": [
        "-y",
        "@facebookresearch/pytorch3d"
      ]
    }
  }
}

docker run -i --rm mcp/pytorch3d