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TL;DR

Apache Airflow is a Data Engineering MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent trigger DAGs, inspect task runs, and manage Airflow workflows from any MCP client. Install in 1 minute with mcpizy install airflow.

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Apache Airflow

Data Engineering

Last updated September 23, 2026 · By MCPizy team

Trigger DAGs, inspect task runs, and manage Airflow workflows from any MCP client.

Install Apache Airflow

Via MCPizy CLI (recommended):
mcpizy install airflow
Or run directly:

We could not verify a published package or a reachable endpoint for this server, so we are not showing an install command that would fail. Checked 2026-08-11.

Works with

Claude Code
Claude Desktop
Cursor
Windsurf
VS Code + Copilot
Any MCP Client

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Frequently asked questions

What is the Apache Airflow MCP server?

Apache Airflow is listed as an Data Engineering Model Context Protocol server whose documented purpose is to let an MCP-compatible agent trigger DAGs, inspect task runs, and manage Airflow workflows from any MCP client. Client support, permissions and authentication remain specific to the upstream project.

How do I install Apache Airflow MCP with Claude Code?

The fastest way is the MCPizy CLI: run `mcpizy install airflow` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `` and restarting Claude Code.

Does MCPizy charge to view or install Apache Airflow MCP?

No. Reading this profile and copying its install guidance is free. Upstream software, API, account or usage costs are separate, and licence coverage should be checked from the linked source when available.

Does Apache Airflow MCP work with Cursor and Windsurf?

The MCP standard is supported by those clients, but a specific server can still have client-specific setup or transport limits. Use the configuration shown on this page when present and verify the upstream instructions before installation.

What can I do with Apache Airflow MCP?

Its documented purpose is to let an MCP-compatible agent trigger DAGs, inspect task runs, and manage Airflow workflows from any MCP client. The exact tools, permissions and write capabilities depend on the server version and configuration shown by the upstream project.

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