MCP Airflow

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

# Run directly with uvx (no install needed)
uvx mcp-airflow

# Or install with pip
pip install mcp-airflow

For development:

uv pip install -e ".[dev]"
# or with dependency groups
uv sync --group dev

Configuration

Set these environment variables (or create a .env file from .env.example):

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:

mcp-airflow

Or add to your MCP client config (e.g., Claude Desktop):

{
  "mcpServers": {
    "airflow": {
      "command": "mcp-airflow",
      "env": {
        "AIRFLOW_BASE_URL": "http://100.x.x.x:8080/api/v2",
        "AIRFLOW_USERNAME": "admin",
        "AIRFLOW_PASSWORD": "your-password"
      }
    }
  }
}

Tools

Tests

pytest

Documentation

Start at docs/index.md for the supported flows, architecture, operational guidance, and security boundary.

Roadmap and delivery status live in GitHub Issues and pull requests.

License

MIT