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
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-apache-airflow": {
"command": "uv",
"args": [
"run",
"mcp-server-apache-airflow",
"--apis",
"dag",
"--apis",
"dagrun"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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