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Apache Airflow MCP
Trigger, monitor, and manage Apache Airflow DAGs via MCP. Agents can start pipeline runs, check task status, read logs, and respond to failures without human intervention.
MCP unverified
Integration
| Transport | stdio |
| Auth | api-key |
| Endpoint | npx airflow-mcp-server |
| Install | npx airflow-mcp-server |
Use Cases
| 01 | Trigger an Airflow DAG run in response to an upstream event |
| 02 | Monitor task status and surface failures to an agent for remediation |
| 03 | Read Airflow logs to diagnose pipeline issues programmatically |
Tags
airflow dag pipeline orchestration workflow data-engineering
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>