tsfresh

Automatic extraction of relevant features from time series:

9,264 stars Jupyter Notebook 1 file · ~4,007 tokens #data-science #feature-extraction #time-series

tsfresh MCP Server

MCP server for blue-yonder/tsfresh

Ready-to-Use Client Configurations

{
  "mcpServers": {
    "tsfresh": {
      "command": "npx",
      "args": [
        "-y",
        "@blue-yonder/tsfresh"
      ]
    }
  }
}

{
  "mcpServers": {
    "tsfresh": {
      "command": "npx",
      "args": [
        "-y",
        "@blue-yonder/tsfresh"
      ]
    }
  }
}

{
  "mcpServers": {
    "tsfresh": {
      "command": "npx",
      "args": [
        "-y",
        "@blue-yonder/tsfresh"
      ]
    }
  }
}

{
  "mcpServers": {
    "tsfresh": {
      "command": "npx",
      "args": [
        "-y",
        "@blue-yonder/tsfresh"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

{
  "mcpServers": {
    "tsfresh": {
      "command": "npx",
      "args": [
        "-y",
        "@blue-yonder/tsfresh"
      ]
    }
  }
}

docker run -i --rm mcp/tsfresh