MCP Airflow API
pipStandardModel Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking.
43120Updated 2 days ago
Overview
Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking.
Installation
1Install the package
pip
pip install MCP-Airflow-API2Add to Claude
Add this configuration to your claude_desktop_config.json:
claude_desktop_config.json
{
"mcpServers": {
"call518-mcp-airflow-api-github": {
"command": "uvx",
"args": [
"pip install MCP-Airflow-API"
]
}
}
}3Verify installation
Restart Claude Desktop, then ask:
"What tools do you have available from MCP Airflow API?"
Prerequisites
- Python 3.10 or higher
- pip or uv package manager
- Claude Desktop or Claude API access
- API key for MCP Airflow API
Configuration
API Key Required
This server requires an API key from MCP Airflow API. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| MCP_AIRFLOW_API_API_KEY | Yes | Your MCP Airflow API API key |
Usage Examples
List Resources
"What resources are available in MCP Airflow API?"
Claude will query available resources and return a list of what you can access.
Get Details
"Show me details about [specific item] in MCP Airflow API"
Claude will fetch and display detailed information about the requested item.
Create New
"Create a new [item] in MCP Airflow API with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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