MCP-Airflow-API
🔍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.
42 stars
4.1/5
Server Information
Category
Development
Tags
python
api-&-http
api-wrapper
GitHub Stars
42
Last Updated
11/19/2025
Installation & Usage
Quick Install
1. Install the server
npm install MCP-Airflow-API
2. Configure MCP settings
Add the server to your Claude Desktop or MCP client configuration.
3. Start using
The server will be available for use with your AI assistant.
Configuration Example
{
"servers": {
"MCP-Airflow-API": {
"command": "node",
"args": ["path/to/MCP-Airflow-API"]
}
}
}Add this configuration to your MCP settings file.
Grok-MCP
3.1
4
MCP server for xAI's Grok API, can give access to capabilities including image understanding, image generation, live web search, and reasoning models.
semgrep
5
13375
Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.
Ready to Get Started?
Install MCP-Airflow-API and start building more capable AI applications with Model Context Protocol.