mcp-server-apache-airflow

Name: mcp-server-apache-airflow
Author: yangkyeongmo

@yangkyeongmo

Repository Homepage

About mcp-server-apache-airflow

No overview available yet

Basic information

Config

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

{
  "mcpServers": {
    "mcp-server-apache-airflow": {
      "command": "uv",
      "args": [
        "run",
        "mcp-server-apache-airflow",
        "--apis",
        "dag",
        "--apis",
        "dagrun"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is mcp-server-apache-airflow?

mcp-server-apache-airflow is a Model Context Protocol (MCP) server implementation that wraps Apache Airflow’s REST API using the official Airflow client library. It enables MCP clients to interact with Airflow in a standardized way.

How to use mcp-server-apache-airflow?

The package is available on PyPI and can be installed via pip. Once configured with an Airflow instance, MCP clients can invoke any of the supported Airflow API operations directly through the MCP protocol.

Key features of mcp-server-apache-airflow

List, pause, unpause, update, and delete DAGs
Create, list, update, and delete DAG runs
Manage tasks and task instances with logging
CRUD operations for variables, connections, and pools
Access XComs, datasets, event logs, and health stats

Use cases of mcp-server-apache-airflow

Automate DAG lifecycle management from MCP-powered assistants
Monitor and trigger Airflow workflows without manual API calls
Integrate Airflow operations into broader MCP-based automation pipelines

FAQ from mcp-server-apache-airflow

What does this MCP server allow me to do?

It provides over 50 Airflow REST API operations through the MCP protocol, covering DAGs, runs, tasks, variables, connections, pools, XComs, datasets, monitoring, config, plugins, providers, and event logs.

What dependencies does it require?

It requires a running Apache Airflow instance with its REST API accessible, and uses the official Apache Airflow client library for compatibility.

Does it support authentication with Airflow?

The README does not specify authentication details; users should refer to the Airflow REST API documentation for auth configurations.

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