mcp-server-apache-airflow
This server connects AI tools directly to Apache Airflow, letting you manage workflows and tasks through conversation. You can view pipeline status, trigger runs, check logs, and update settings without opening the web interface.
This project implements a Model Context Protocol server that wraps Apache Airflow's REST API, allowing MCP clients to interact with Airflow in a standardized way. It uses the official Apache Airflow client library to ensure compatibility and maintainability. Feature Implementation Status | Feature | API Path | Status | | -------------------------------- | --------------------------------------------------------------------------------------------- | ------ | | DAG Management | | | | List DAGs | /api/v1/dags | ✅ | | Get DAG Details | /api/v1/dags/{dag_id}
Установка
Характеристики
| Тип | MCP-сервер |
| Категория | Кодинг и разработка / Из awesome-списка |
| Платформа | Командная строка |
| Системы | cli, api |
| Установка | mcp |
| Протоколы | mcp |
| Язык сайта | en |
| GitHub | yangkyeongmo/mcp-server-apache-airflow |
