antonio-mello-ai/mcp-airflow
🔌 MCP Serverantonio-mello-ai
An MCP server to manage and monitor Apache Airflow workflows directly through your AI assistant.
The mcp-airflow server acts as a specialized bridge between AI agents and Apache Airflow instances. By leveraging the Model Context Protocol (MCP), it exposes the Airflow REST API as a set of callable tools for LLMs. The server includes 7 distinct tools that cover the full lifecycle of pipeline management: listing available DAGs, inspecting the status of specific DAG runs, querying task instance details, triggering new DAG executions, and performing health checks on the scheduler and metadatabase. This integration is particularly powerful for debugging failed tasks or triggering ad-hoc data processing jobs without leaving the AI chat interface. Built with the FastMCP framework, it ensures high performance and easy installation via uvx, making it a lightweight yet robust addition to any data engineering stack that utilizes AI-assisted operations.
💡Highlights
- ├─7 tools for Airflow REST API
- ├─Built with FastMCP framework
- └─Easy installation via uvx
🎯For
- ├─Data Engineers
- ├─DevOps Engineers
- └─AI Automation Developers