apache airflow
pipStandardThe mcp-server-apache-airflow exposes Apache Airflow's DAG management, task execution, and monitoring capabilities to AI agents. It provides tools to create, trigger, and monitor workflows. It connects to Airflow's REST API and metadata database. Developers use it to automate and manage data pipelines, schedule tasks, and integrate Airflow workflows with other AI agents.
140370Updated 2 weeks ago
Overview
The mcp-server-apache-airflow exposes Apache Airflow's DAG management, task execution, and monitoring capabilities to AI agents. It provides tools to create, trigger, and monitor workflows. It connects to Airflow's REST API and metadata database. Developers use it to automate and manage data pipelines, schedule tasks, and integrate Airflow workflows with other AI agents.
Installation
1Install the package
pip
pip install mcp-server-apache-airflow2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"yangkyeongmo-mcp-server-apache-airflow-github": {
"command": "uvx",
"args": [
"pip install mcp-server-apache-airflow"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from apache airflow?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
Configuration
No configuration required. This server works out of the box.
Usage Examples
List Resources
"What resources are available in apache airflow?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in apache airflow"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in apache airflow with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
Works with apache airflow
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