einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

9,481 stars Python 1 file · ~3,280 tokens #cupy #deep-learning #einops #jax #mlx #numpy #pytorch #tensor

einops MCP Server

MCP server for arogozhnikov/einops

Ready-to-Use Client Configurations

{
  "mcpServers": {
    "einops": {
      "command": "npx",
      "args": [
        "-y",
        "@arogozhnikov/einops"
      ]
    }
  }
}

{
  "mcpServers": {
    "einops": {
      "command": "npx",
      "args": [
        "-y",
        "@arogozhnikov/einops"
      ]
    }
  }
}

{
  "mcpServers": {
    "einops": {
      "command": "npx",
      "args": [
        "-y",
        "@arogozhnikov/einops"
      ]
    }
  }
}

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

{
  "mcpServers": {
    "einops": {
      "command": "npx",
      "args": [
        "-y",
        "@arogozhnikov/einops"
      ]
    }
  }
}

docker run -i --rm mcp/einops