Made-With-ML Model Context Protocol (MCP) Server

Learn how to develop, deploy and iterate on production-grade ML applications.

49,929 stars Jupyter Notebook 2 files · ~5,972 tokens #data-engineering #data-quality #data-science #deep-learning #distributed-ml #distributed-training #llmops #llms

Made-With-ML MCP Server

MCP server for GokuMohandas/Made-With-ML

Ready-to-Use Client Configurations

{
  "mcpServers": {
    "Made-With-ML": {
      "command": "npx",
      "args": [
        "-y",
        "@GokuMohandas/Made-With-ML"
      ]
    }
  }
}

{
  "mcpServers": {
    "Made-With-ML": {
      "command": "npx",
      "args": [
        "-y",
        "@GokuMohandas/Made-With-ML"
      ]
    }
  }
}

{
  "mcpServers": {
    "Made-With-ML": {
      "command": "npx",
      "args": [
        "-y",
        "@GokuMohandas/Made-With-ML"
      ]
    }
  }
}

{
  "mcpServers": {
    "Made-With-ML": {
      "command": "npx",
      "args": [
        "-y",
        "@GokuMohandas/Made-With-ML"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "Made-With-ML": {
      "command": "npx",
      "args": [
        "-y",
        "@GokuMohandas/Made-With-ML"
      ]
    }
  }
}

docker run -i --rm mcp/Made-With-ML