data-engineering

agents

AI agent tooling for data engineering workflows. Includes an MCP server for Airflow, a CLI tool (af) for interacting with Airflow from your terminal, and skills that extend AI coding agents with specialized capabilities for working with Airflow and data warehouses. Works with Claude Code, Cursor, and other agentic coding tools.

Built by Astronomer. Apache 2.0 licensed and compatible with open-source Apache Airflow.

Table of Contents

• Installation
  • Quick Start
  • Compatibility
  • Claude Code
  • Cursor
  • Other MCP Clients
• Features
  • MCP Server
  • Skills
• Why Astro?
  • User Journeys
  • Airflow CLI (af)
• Configuration
  • Warehouse Connections
  • Airflow
• Usage
  • Getting Started
• Development
  • Local Development Setup
  • Adding Skills
• Troubleshooting
  • Common Issues
• Contributing
• Roadmap
• License

Installation

Quick Start

npx skills add astronomer/agents --skill '*'

This installs all Astronomer skills into your project via skills.sh. You'll be prompted to select which agents to install to. To also select skills individually, omit the --skill flag.

[!IMPORTANT] Claude Code users: We recommend using the plugin instead (see Claude Code section below) for better integration with MCP servers and hooks.

Compatibility

Skills: Works with 25+ AI coding agents including Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, Cline, and more.

MCP Server: Works with any MCP-compatible client including Claude Desktop, VS Code, and others.

[!NOTE] Open-source Airflow users: The MCP server works with any Airflow 2.x/3.x REST API. Set AIRFLOW_API_URL to your self-hosted instance. Skills are tool-agnostic and work with any Airflow deployment.

Claude Code

# Add the marketplace and install the plugin
claude plugin marketplace add astronomer/agents
claude plugin install data@astronomer

The plugin includes the Airflow MCP server that runs via uvx from PyPI. Data warehouse queries are handled by the analyzing-data skill using a background Jupyter kernel.

Cursor

Cursor supports both MCP servers and skills.

MCP Server - Click to install:

Skills - Install to your project:

npx skills add astronomer/agents --skill '*' -a cursor

This installs skills to .cursor/skills/ in your project.

{
  "mcpServers": {
    "airflow": {
      "command": "uvx",
      "args": ["astro-airflow-mcp", "--transport", "stdio"]
    }
  }
}

{
  "version": 1,
  "hooks": {
    "beforeSubmitPrompt": [
      {
        "command": "$CURSOR_PROJECT_DIR/.cursor/skills/airflow/hooks/airflow-skill-suggester.sh",
        "timeout": 5
      }
    ],
    "stop": [
      {
        "command": "uv run $CURSOR_PROJECT_DIR/.cursor/skills/analyzing-data/scripts/cli.py stop",
        "timeout": 10
      }
    ]
  }
}

Other MCP Clients

For any MCP-compatible client (Claude Desktop, VS Code, etc.):

# Airflow MCP
uvx astro-airflow-mcp --transport stdio

# With remote Airflow
AIRFLOW_API_URL=https://your-airflow.example.com \
AIRFLOW_USERNAME=admin \
AIRFLOW_PASSWORD=admin \
uvx astro-airflow-mcp --transport stdio

Features