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Mcp Airflow Api

@call518

Repository

About Mcp Airflow Api

MCP-Airflow-API is a Model Context Protocol (MCP) server that transforms Apache Airflow REST API operations into natural language tools for LLM integration. Built for DevOps engineers, data engineers, and Airflow administrators who need intuitive cluster management capabilities.

#apache-airflow#mcp#model-context-protocol#airflow-api#dag-management-data-engineering#devops#airflow-monitoring#llm-integration#natural-language#docker#python#workflow-automation#airflow-tools#data-pipelines

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "airflow-api": {
      "command": "uvx",
      "args": [
        "--python",
        "3.11",
        "mcp-airflow-api"
      ],
      "env": {
        "AIRFLOW_API_URL": "http://localhost:8080/api/v1",
        "AIRFLOW_API_USERNAME": "airflow",
        "AIRFLOW_API_PASSWORD": "airflow",
        "AIRFLOW_LOG_LEVEL": "INFO"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Mcp Airflow Api?

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How to use Mcp Airflow Api?

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Key features of Mcp Airflow Api

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Use cases of Mcp Airflow Api

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FAQ from Mcp Airflow Api

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Comments

Basic information

Category

Data & Analytics

Transports

stdio

Author

call518

Submitted by

JungJungIn

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