airflow-mcp-server
The airflow-mcp-server is designed to manage Apache Airflow through a Model Context Protocol (MCP) server, enabling control over workflows via Airflow APIs. It supports authentication through tokens or cookies, and operates in safe or unsafe modes for read-only or full control respectively. The server fetches Airflow configurations and allows precise task management, simplifying integration and automation of Airflow in complex data pipelines.
Added on:
Created by:
Apr 23 2025
The airflow-mcp-server is designed to manage Apache Airflow through a Model Context Protocol (MCP) server, enabling control over workflows via Airflow APIs. It supports authentication through tokens or cookies, and operates in safe or unsafe modes for read-only or full control respectively. The server fetches Airflow configurations and allows precise task management, simplifying integration and automation of Airflow in complex data pipelines.
Added on:
Created by:
Apr 23 2025
Abhishek
Featured
What is airflow-mcp-server?
This MCP server facilitates comprehensive management of Apache Airflow by providing an interface to control workflows, trigger DAGs, and perform data pipeline operations remotely. It supports environment variable configurations for secure authentication via tokens or cookies, ensuring flexible integration with existing infrastructure. The server operates in two modes: safe mode, which allows only read operations to ensure system safety, and unsafe mode that permits full modification capabilities for advanced control. It can parse OpenAPI specifications for customized API interactions, supports fetching Airflow configurations like page limits, and ensures ease of use with environment variable setups. This tool is ideal for developers and data engineers looking to automate and monitor their workflow orchestration systems efficiently.
Who will use airflow-mcp-server?
- Data Engineers
- DevOps Team
- Workflow Automation Specialists
- Data Pipeline Managers
How to use the airflow-mcp-server?
- Step1: Set environment variables including AIRFLOW_BASE_URL and authentication details
- Step2: Choose operation mode (--safe for read-only or --unsafe for full control)
- Step3: Start the MCP server with the appropriate configuration
- Step4: Use API endpoints to control or query Airflow workflows
- Step5: Monitor and manage workflows through integrated API calls
airflow-mcp-server's Core Features & Benefits
The Core Features
- Control Airflow workflows via APIs
- Support for safe and unsafe operation modes
- Authentication through tokens or cookies
- Parsing OpenAPI specifications
- Fetching Airflow configuration details
The Benefits
- Simplifies managing Airflow workflows
- Enhances automation of data pipelines
- Secure and flexible authentication options
- Supports integrations with existing systems
- Provides read-only and full control modes for safety and flexibility
airflow-mcp-server's Main Use Cases & Applications
- Automating Airflow DAG triggers
- Monitoring workflow statuses
- Managing Airflow configurations remotely
- Integrating Airflow with external automation tools
- Securely controlling workflows in production environments
FAQs of airflow-mcp-server
Developer
- abhishekbhakat
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