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

@abhishekbhakat

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Basic information

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

MCP Server for Apache Airflow

#api #airflow#apache-airflow#llm #mcp-server

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

Add this server to your MCP-compatible client using the configuration below.

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

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

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is airflow-mcp-server?

airflow-mcp-server is a Model Context Protocol server that enables AI assistants to control Apache Airflow 3 via Airflow APIs. It connects to an Airflow instance using a JWT token and exposes tools for managing DAGs, tasks, connections, and more.

How to use airflow-mcp-server?

Install via uvx and configure it in your MCP client (e.g., Claude Desktop) with the Airflow base URL and JWT token. Start with airflow-mcp-server --base-url http://localhost:8080 --auth-token <jwt>. Use --safe for read-only mode or --unsafe for full access (default). Choose between stdio (default) or HTTP transport with --http.

Key features of airflow-mcp-server

Controls Airflow via the Airflow REST API
Supports safe (read-only) and unsafe (full access) operation modes
Offers hierarchical tool discovery or static tools
Provides stdio, HTTP, and deprecated SSE transport options
Accepts local Markdown files as read-only resources
Requires only JWT authentication (Airflow 3)

Use cases of airflow-mcp-server

Querying DAG statuses, task instances, and pipeline runs
Triggering or pausing DAGs from an AI assistant
Viewing and managing Airflow connections and variables
Troubleshooting Airflow runs with natural language commands
Automating Airflow workflows via chat or agent interfaces

Frequently asked questions

What authentication is required?

Only JWT token authentication is supported. Cookie and basic auth are no longer available in Airflow 3.0. Provide the token via `--auth-token`.

What transport options are available?

The server supports stdio (default for direct process communication) and HTTP (recommended for web deployments). SSE transport is deprecated.

How does safe mode differ from unsafe mode?

Safe mode (`--safe`) restricts all tools to read-only GET requests. Unsafe mode (`--unsafe`, the default) allows all operations including modifications.

How are tools organized?

By default, tools are organized hierarchically by categories (DAGs, Tasks, Connections, etc.). Use `--static-tools` to list all tools immediately without browsing categories.

Can I provide local documentation as resources?

Yes. Use `--resources-dir <path>` to point to a folder of Markdown files. Each `.md` file becomes a read-only resource visible in the MCP client.

Comments

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