MCP Server Apache Airflow
M

MCP Server Apache Airflow

An MCP protocol server implemented for Apache Airflow, providing a standardized interface to interact with Airflow
2.5 points
9.0K

What is the Apache Airflow MCP Server?

The Apache Airflow MCP Server is a tool based on the standard MCP protocol. It encapsulates the powerful functions of Apache Airflow into a unified API interface, allowing users to easily manage Airflow tasks, DAGs, and variables through simple commands and interfaces.

How to use the Apache Airflow MCP Server?

Users only need to set environment variables and start the server to interact with Airflow through a standard MCP client or command-line tool.

Use Cases

Suitable for teams that need to automate the management and monitoring of complex workflows, especially in the fields of data processing, machine learning, and business process automation.

Main Features

DAG Management
Supports functions such as creating, deleting, pausing, resuming, and batch updating DAGs.
DAG Run Management
Allows viewing, creating, modifying, and deleting DAG run instances.
Task Instance Management
Operates on the status of task instances, such as clearing and setting the status.
Variable Management
Supports operations of adding, deleting, modifying, and querying variables.
Dataset Management
Tracks and manages dataset events and dependencies.
Health Monitoring
Gets the system running status and version information.
Advantages
Simplifies the usage experience of Airflow's complex API.
Supports seamless integration with multiple clients.
A powerful error handling mechanism ensures stability.
Limitations
Requires correct configuration of environment variables to work properly.
Some advanced features may require additional configuration support.

How to Use

Installation and Configuration
Install the server dependencies and set the necessary environment variables (e.g., AIRFLOW_HOST, AIRFLOW_USERNAME, AIRFLOW_PASSWORD).
Start the Server
Run the server to listen for MCP requests.
Test the Connection
Verify that the server has started successfully and responds to requests.

Usage Examples

Trigger a DAG Run
Trigger a new DAG run through the API.
Update DAG Configuration
Modify the configuration parameters of an existing DAG.

Frequently Asked Questions

How to set environment variables?
What to do if there are permission issues?
Which operating systems are supported?

Related Resources

Official Documentation
Understand the basics of the MCP protocol.
GitHub Code Repository
Get the latest source code and examples.
Demo Video
Watch the server function demonstration.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mcp-server-apache-airflow": {
      "command": "uvx",
      "args": ["mcp-server-apache-airflow"],
      "env": {
        "AIRFLOW_HOST": "https://your-airflow-host",
        "AIRFLOW_USERNAME": "your-username",
        "AIRFLOW_PASSWORD": "your-password"
      }
    }
  }
}

{
  "mcpServers": {
    "mcp-server-apache-airflow": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/mcp-server-apache-airflow",
        "run",
        "mcp-server-apache-airflow"
      ],
      "env": {
        "AIRFLOW_HOST": "https://your-airflow-host",
        "AIRFLOW_USERNAME": "your-username",
        "AIRFLOW_PASSWORD": "your-password"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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