MCP-Airflow-API

by call518 · design-creative · mcp-server, smithery

Manage Apache Airflow clusters in plain language—monitor DAGs, trigger or pause runs, and browse code, logs, variables, pools, and connections. Accelerate troubleshooting with quick views of failed tasks, event logs, run durations, and cluster health. Work seamlessly across Airflow 2.x and 3.x, including asset insights for data-aware scheduling.

Source: https://smithery.ai/servers/call518/mcp-airflow-api

Install

git clone https://smithery.ai/servers/call518/mcp-airflow-api

Tags: mcp-server, smithery

Source: smithery

About design-creative MCP servers and Claude skills

design-creative MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

MCP-Airflow-API is one of hundreds of design-creative entries indexed on Skiln. Browse the full design-creative category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install MCP-Airflow-API?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support MCP-Airflow-API?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is MCP-Airflow-API free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.