mcp-airflow
MCP server that exposes Apache Airflow REST API operations as tools. Built with FastMCP.
Install
# Run directly with uvx (no install needed)
uvx mcp-airflow
# Or install with pip
pip install mcp-airflowFor development:
uv pip install -e ".[dev]"
# or with dependency groups
uv sync --group devConfiguration
Set these environment variables (or create a .env file from .env.example):
| Variable | Description | Example | |----------|-------------|---------| | AIRFLOW_BASE_URL | Airflow REST API base URL. Use /api/v2 for Airflow 3.x or /api/v1 for 2.x | http://100.x.x.x:8080/api/v2 | | AIRFLOW_USERNAME | Auth username (JWT on 3.x, basic auth on 2.x) | admin | | AIRFLOW_PASSWORD | Auth password | |
Authentication
The client picks the auth scheme automatically based on your Airflow version:
- Airflow 3.x (JWT) — a JWT token is obtained from the
/auth/tokenendpoint
using AIRFLOW_USERNAME/AIRFLOW_PASSWORD, sent as a Bearer token, and refreshed automatically. Point AIRFLOW_BASE_URL at /api/v2.
- Airflow 2.x (basic auth) — if the JWT flow is unavailable, the client falls
back to HTTP basic auth with the same username/password. Point AIRFLOW_BASE_URL at /api/v1.
Usage
Run the server:
mcp-airflowOr add to your MCP client config (e.g., Claude Desktop):
{
"mcpServers": {
"airflow": {
"command": "mcp-airflow",
"env": {
"AIRFLOW_BASE_URL": "http://100.x.x.x:8080/api/v2",
"AIRFLOW_USERNAME": "admin",
"AIRFLOW_PASSWORD": "your-password"
}
}
}
}Tools
| Tool | Description | |------|-------------| | list_dags | List all DAGs with paused/active status | | get_dag_runs_today | Get all DAG runs from today with status | | get_dag_run_status | Get the latest run status for a specific DAG | | trigger_dag_run | Trigger a manual DAG run | | get_task_instances | Get task instances for a specific DAG run | | check_failed_dags | Check for failed DAGs in the last 24 hours | | check_scheduler_health | Check scheduler heartbeat and metadatabase status |
Tests
pytestLicense
MIT
