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apache-airflow-mcp-server / setup / crewai
Setup guide

Set up apache-airflow-mcp-server in CrewAI

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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 CrewAI # transport: unknown # launch: uvx apache-airflow-mcp-server

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

02Steps
  1. Make sure CrewAI is installed and up to date.
  2. Wire the server into CrewAI using its MCP client API.
  3. Provide any required API keys/credentials as environment variables.
  4. Restart CrewAI and confirm apache-airflow-mcp-server’s tools appear.
03Other runtimes
Claude DesktopCursorWindsurfClineContinueGooseVS CodeOpenAI Agents SDKLangGraph
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