Official description7 sourcesMCP servers8d ago

antonio-mello-ai/mcp-airflow

MCP server for airflow

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Config template (adjust for your client)

claude mcp add mcp-airflow -- npx -y mcp-airflow

A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.

Star count: 2 ★ · antonio-mello-ai/mcp-airflow · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source: collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history: first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score: score 703 · 2 ★ · 7 sources · mcp

FAQ (answers come from our records)

How do I install it?

We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.

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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.

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repository antonio-mello-ai/mcp-airflow；first catalogued 2026-10-09；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.

Third-party quality signals

---

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

title: MCP Airflow
kind: source_doc
area: engineering
project: mcp-airflow
collection: mcp-airflow
owner: maintainers
status: current
canonical: README.md
globalRef: qmd://mcp-airflow/README.md
reviewCadenceDays: 90
lastReviewedAt: 2026-09-28
sourceRefs:
- pyproject.toml
related:
- AGENTS.md
- docs/fluxos-negocio.md
- docs/arquitetura.md
- docs/operacao.md
- docs/index.md
supersedes: []
supersededBy: []
sensitivity: public
---
mcp-airflow
MCP server that exposes Apache Airflow REST API operations as tools. Built with
the FastMCP API from the MCP Python SDK.
This is an open-source package. The maintainers do not operate a public hosted
Airflow endpoint through this repository.
Install
For development:
Configuration
Set these environment variables (or create a .env file from .env.example):
| Variable | Description | Example |
|----------|-------------|---------|
| AIRFLOW_BASE_URL | Airflow REST API base URL. Use /api/v2 for Airflow 3.x or /api/v1 for 2.x | http://100.x.x.x:8080/api/v2 |
| AIRFLOW_USERNAME | Auth username (JWT on 3.x, basic auth on 2.x) | admin |
| AIRFLOW_PASSWORD | Auth password | |
Authentication
The client picks the auth scheme automatically based on your Airflow version:
- **Airflow 3.x (JWT)** — a JWT token is obtained from the /auth/token endpoint
using AIRFLOW_USERNAME/AIRFLOW_PASSWORD, sent as a Bearer token, and
refreshed automatically. Point AIRFLOW_BASE_URL at /api/v2.
- **Airflow 2.x (basic auth)** — if the JWT flow is unavailable, the client falls
back to HTTP basic auth with the same username/password. Point AIRFLOW_BASE_URL
at /api/v1.
Usage
Run the server:
Or add to your MCP client config (e.g., Claude Desktop):
Tools
| Tool | Description |
|------|-------------|
| list_dags | List all DAGs with paused/active status |
| get_dag_runs_today | Get all DAG runs from today with status |
| get_dag_run_status | Get the latest run status for a specific DAG |
| trigger_dag_run | Trigger a manual DAG run |
| get_task_instances | Get task instances for a specific DAG run |
| check_failed_dags | Check for failed DAGs in the last 24 hours |