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Airflow MCP 服务器

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Airflow MCP 服务器

项目概述

本项目是一个与 Apache Airflow 集成的 Model Context Protocol (MCP) 服务器，提供多种工具来管理和监控 Airflow 的 DAG 运行。它支持触发 DAG、获取 DAG 状态、回填数据、获取日志等操作。

功能特性

触发 DAG (trigger-dag): 触发指定 DAG 的运行。
启用 DAG (enable-dag): 启用指定的 DAG。
获取每日报告 (get-daily-report): 获取指定时间范围内的所有 DAG 运行的汇总报告。
列出所有 DAG (list-dags): 列出所有可用的 DAG。
批量获取 DAG 运行记录 (list-dag-runs): 批量获取 DAG 的运行记录。
获取 DAG 运行状态 (get-dag-status): 获取特定 DAG 的运行状态。
获取 DAG 日志 (get-dag-logs): 获取 DAG 运行的日志。
回填 DAG (backfill-dag): 回填指定日期范围内的 DAG 数据。

使用

{
  "mcpServers": {
    "airflow": {
      "command": "uvx",
      "args": [
        "airflow-mcp"
      ],
      "env": {
        "AIRFLOW_API_BASE": "http://localhost:8000/api/v1",
        "AIRFLOW_USERNAME": "admin",
        "AIRFLOW_PASSWORD": "admin"
      }
    }
  }
}

开发

uv sync
修改 mcp_config.json, 加入 airflow 配置

{
  "mcpServers": {
    "airflow": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/airflow-mcp",
        "run",
        "airflow_mcp.py"
      ],
      "env": {
        "AIRFLOW_API_BASE": "http://localhost:8000/api/v1",
        "AIRFLOW_USERNAME": "admin",
        "AIRFLOW_PASSWORD": "admin"
      }
    }
  }
}

启动 airflow 实例

mkdir ~/airflow-docker
cd ~/airflow-docker
curl -LfO 'https://airflow.apache.org/docs/apache-airflow/2.8.3/docker-compose.yaml'
cat << EOF > .env
AIRFLOW_UID=$(id -u)
AIRFLOW__CORE__LOAD_EXAMPLES=false
AIRFLOW__CORE__EXECUTOR=SequentialExecutor
EOF
docker compose up -d

贡献

欢迎贡献代码！请提交 Pull Request 并确保遵循项目的编码规范。

许可

本项目采用 MIT 许可协议。

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