MCP-Airflow-API

by call518 · MCP Server · ★ 45

About MCP-Airflow-API

🚀 MCP-Airflow-API Revolutionary Open Source Tool for Managing Apache Airflow with Natural Language Architecture & Internal (DeepWiki) 📋 Overview Have you ever wondered how amazing it would be if you could manage your Apache Airflow workflows using natural language instead of complex REST API calls or web interface manipulations? MCP-Airflow-API is the revolutionary open-source project that makes this goal a reality. ![MCP-Airflow-API Screenshot](img/screenshot-000.pn

agentic-aiai-agentsairflow-apiapache-airflowautomationclaudedag-managementdevopsdockergenerative-ai

Quick Facts

Stars45
Forks12
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score60.31/100
Last Updated2026-04-30
Created2025-08-11
Platformsclaude-code, docker, mcp, python
Est. Tokens~176k

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Frequently Asked Questions

What is MCP-Airflow-API?

MCP-Airflow-API is ⚡ Control Apache Airflow with natural language via MCP. Chat with your workflows using Claude, GPT, or any LLM — no REST API calls needed. Supports Airflow 2.x (43 tools) & 3.0+ (45+ tools).. It is categorized as a MCP Server with 45 GitHub stars.

What programming language is MCP-Airflow-API written in?

MCP-Airflow-API is primarily written in Python. It covers topics such as agentic-ai, ai-agents, airflow-api.

How do I install or use MCP-Airflow-API?

You can find installation instructions and usage details in the MCP-Airflow-API GitHub repository at github.com/call518/MCP-Airflow-API. The project has 45 stars and 12 forks, indicating an active community.

What license does MCP-Airflow-API use?

MCP-Airflow-API is released under the MIT license, making it free to use and modify according to the license terms.

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