MCP-Airflow-API
MCP-Airflow-API is an MCP server that leverages the Model Context Protocol (MCP) to transform Apache Airflow REST API operations into natural language tools. This project hides the complexity of API structures and enables intuitive management of Airflow clusters through natural language commands.
Category: Data & Analytics
Tags: airflow, data-pipelines, etl, workflow-orchestration
Visit MCP-Airflow-API
Key facts
Part of MCP Servers
Related MCP servers
- MCP KQL Server โ Execute KQL queries using Azure authentication. Requires Azure CLI login.
- MCP Jupyter Complete โ A server for Jupyter notebook manipulation with position-based operations and VS Code integration.
- MCP Kubernetes Server โ Control Kubernetes clusters through interactions with Large Language Models (LLMs).
- MCP Mempool โ Access Bitcoin network data from mempool.space's API for AI agents and applications.
- MCP Nomad Go โ A Go-based MCP server for managing HashiCorp Nomad resources, including jobs, deployments, nodes, and cluster operations.
- MCP Options Order Flow Server โ A high-performance MCP server for comprehensive options order flow analysis.