airflow Model Context Protocol (MCP) Server

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

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Python 1 file · ~13,962 tokens #airflow #apache #apache-airflow #automation #dag #data-engineering #data-integration #data-orchestrator

airflow MCP Server

MCP server for apache/airflow

Ready-to-Use Client Configurations

{
  "mcpServers": {
    "airflow": {
      "command": "npx",
      "args": [
        "-y",
        "@apache/airflow"
      ]
    }
  }
}

{
  "mcpServers": {
    "airflow": {
      "command": "npx",
      "args": [
        "-y",
        "@apache/airflow"
      ]
    }
  }
}

{
  "mcpServers": {
    "airflow": {
      "command": "npx",
      "args": [
        "-y",
        "@apache/airflow"
      ]
    }
  }
}

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

{
  "mcpServers": {
    "airflow": {
      "command": "npx",
      "args": [
        "-y",
        "@apache/airflow"
      ]
    }
  }
}

docker run -i --rm mcp/airflow