apache-airflow-mcp-server / setup / langgraph
Setup guide
Set up apache-airflow-mcp-server in LangGraph
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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 LangGraph
# transport: unknown
# launch: uvx apache-airflow-mcp-server
LangGraph connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.
02Steps
- Make sure LangGraph is installed and up to date.
- Wire the server into LangGraph using its MCP client API.
- Provide any required API keys/credentials as environment variables.
- Restart LangGraph and confirm apache-airflow-mcp-server’s tools appear.
03Other runtimes
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 LoadoutSee also: server page · is it safe? · alternatives