What authentication is required?
Only JWT token authentication is supported. Cookie and basic auth are no longer available in Airflow 3.0. Provide the token via `--auth-token`.
@abhishekbhakat
基本信息
MCP Server for Apache Airflow
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"airflow-mcp-server": {
"command": "uvx",
"args": [
"airflow-mcp-server",
"--base-url",
"http://localhost:8080",
"--auth-token",
"<jwt_token>"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
airflow-mcp-server is a Model Context Protocol server that enables AI assistants to control Apache Airflow 3 via Airflow APIs. It connects to an Airflow instance using a JWT token and exposes tools for managing DAGs, tasks, connections, and more.
Install via uvx and configure it in your MCP client (e.g., Claude Desktop) with the Airflow base URL and JWT token. Start with airflow-mcp-server --base-url http://localhost:8080 --auth-token <jwt>. Use --safe for read-only mode or --unsafe for full access (default). Choose between stdio (default) or HTTP transport with --http.
Only JWT token authentication is supported. Cookie and basic auth are no longer available in Airflow 3.0. Provide the token via `--auth-token`.
The server supports stdio (default for direct process communication) and HTTP (recommended for web deployments). SSE transport is deprecated.
Safe mode (`--safe`) restricts all tools to read-only GET requests. Unsafe mode (`--unsafe`, the default) allows all operations including modifications.
By default, tools are organized hierarchically by categories (DAGs, Tasks, Connections, etc.). Use `--static-tools` to list all tools immediately without browsing categories.
Yes. Use `--resources-dir <path>` to point to a folder of Markdown files. Each `.md` file becomes a read-only resource visible in the MCP client.

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