What does this MCP server allow me to do?
It provides over 50 Airflow REST API operations through the MCP protocol, covering DAGs, runs, tasks, variables, connections, pools, XComs, datasets, monitoring, config, plugins, providers, and event logs.
@yangkyeongmo
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-apache-airflow": {
"command": "uv",
"args": [
"run",
"mcp-server-apache-airflow",
"--apis",
"dag",
"--apis",
"dagrun"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
mcp-server-apache-airflow is a Model Context Protocol (MCP) server implementation that wraps Apache Airflow’s REST API using the official Airflow client library. It enables MCP clients to interact with Airflow in a standardized way.
The package is available on PyPI and can be installed via pip. Once configured with an Airflow instance, MCP clients can invoke any of the supported Airflow API operations directly through the MCP protocol.
It provides over 50 Airflow REST API operations through the MCP protocol, covering DAGs, runs, tasks, variables, connections, pools, XComs, datasets, monitoring, config, plugins, providers, and event logs.
It requires a running Apache Airflow instance with its REST API accessible, and uses the official Apache Airflow client library for compatibility.
The README does not specify authentication details; users should refer to the Airflow REST API documentation for auth configurations.

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