A Model Context Protocol (MCP) server implementation for Apache Airflow, enabling seamless integration with MCP clients. This project provides a standardized way to interact with Apache Airflow through the Model…
mcp-server-apache-airflow source profile. From the maintainer documentation: “A Model Context Protocol (MCP) server implementation for Apache Airflow, enabling seamless integration with MCP clients. This project provides a standardized way to interact with Apache Airflow through the Model Context Protocol.”
The documented pypi package is mcp-server-apache-airflow. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.
The example declares AIRFLOW_HOST, AIRFLOW_USERNAME, AIRFLOW_PASSWORD. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"mcp-server-apache-airflow": {
"command": "uvx",
"args": [
"mcp-server-apache-airflow"
],
"env": {
"AIRFLOW_HOST": "https://your-airflow-host",
"AIRFLOW_USERNAME": "your-username",
"AIRFLOW_PASSWORD": "YOUR_AIRFLOW_PASSWORD"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| AIRFLOW_HOST | Declared in the maintainer’s client configuration. | Optional |
| AIRFLOW_USERNAME | Declared in the maintainer’s client configuration. | Check documentation |
| AIRFLOW_PASSWORD | Declared in the maintainer’s client configuration. | Check documentation |
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Placeholder for the old Airflow package
A Model Context Protocol (MCP) server for Apache Airflow that enables standardized access to DAG metadata, run status, and task insights, allowing seamless integration with MCP clients for…