Apache Airflow — MCP Servers
Standardizes interaction with Apache Airflow via the Model Context Protocol (MCP).
Quick Info
Category
autonomous-agents
Tags
mcp
ai
Overview
Standardizes interaction with Apache Airflow via the Model Context Protocol (MCP). This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to Apache Airflow's capabilities. The server enables seamless interaction between LLMs and the underlying services through standardized protocols. Key integration points include: - Direct API access through MCP tools - Structured data exchange with AI agents - Real-time interaction capabilities - Standardized protocol compliance The server is designed to work with popular MCP clients like Claude Desktop, Cursor, and other AI development environments.
Key Features
Standardizes interaction with Apache Airflow via the Model Context Protocol (MCP)
Model Context Protocol integration
AI agent compatibility
Standardized API access
Use Cases
Leverage Apache Airflow for autonomous-agents tasks
Integrate Apache Airflow with Claude and other AI assistants
Streamline autonomous-agents processes using MCP protocol
