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Setup guide

Set up apache-airflow-mcp-server in OpenAI Agents SDK

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Production-grade MCP server for Apache Airflow - Enable AI agents to inspect DAGs, runs, logs, and perform operations

01Configuration
# apache-airflow-mcp-server via OpenAI Agents SDK # transport: unknown # launch: uvx apache-airflow-mcp-server

OpenAI Agents SDK connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.

02Steps
  1. Make sure OpenAI Agents SDK is installed and up to date.
  2. Wire the server into OpenAI Agents SDK using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart OpenAI Agents SDK and confirm apache-airflow-mcp-server’s tools appear.
03Other runtimes
Claude DesktopCursorWindsurfClineContinueGooseVS CodeLangGraphCrewAI
04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-29 07:54Z
sourcesPyPI [p4]
Next step

Ship apache-airflow-mcp-server to your agents as a governed Loadout — config, scopes, and approval rules in one place.

Build a Loadout

See also: server page · is it safe? · alternatives

Set up apache-airflow-mcp-server MCP in OpenAI Agents SDK — MCPExplorer