Skip to main content
Glama

airflow-mcp-server: An MCP Server for controlling Airflow

Find on Glama

Overview

A Model Context Protocol server for controlling Airflow via Airflow APIs.

Demo Video

https://github.com/user-attachments/assets/f3e60fff-8680-4dd9-b08e-fa7db655a705

Setup

Usage with Claude Desktop

{ "mcpServers": { "airflow-mcp-server": { "command": "uvx", "args": [ "airflow-mcp-server", "--base-url", "http://localhost:8080", "--auth-token", "<jwt_token>" ] } } }

Note:

  • Set base_url to the root Airflow URL (e.g., http://localhost:8080).

  • Do not include /api/v2 in the base URL. The server will automatically fetch the OpenAPI spec from ${base_url}/openapi.json.

  • Only JWT token is required for authentication. Cookie and basic auth are no longer supported in Airflow 3.0.

Operation Modes

The server supports two operation modes:

  • Safe Mode (--safe): Only allows read-only operations (GET requests). This is useful when you want to prevent any modifications to your Airflow instance.

  • Unsafe Mode (--unsafe): Allows all operations including modifications. This is the default mode.

To start in safe mode:

airflow-mcp-server --safe

To explicitly start in unsafe mode (though this is default):

airflow-mcp-server --unsafe

Considerations

Authentication

  • Only JWT authentication is supported in Airflow 3.0. You must provide a valid AUTH_TOKEN.

Page Limit

The default is 100 items, but you can change it using maximum_page_limit option in [api] section in the airflow.cfg file.

Tasks

  • Airflow 3 readiness

  • Parse OpenAPI Spec

  • Safe/Unsafe mode implementation

  • Parse proper description with list_tools.

  • Airflow config fetch (specifically for page limit)

  • Env variables optional (env variables might not be ideal for airflow plugins)

Deploy Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

Related MCP Servers

View all related MCP servers

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/abhishekbhakat/airflow-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server