airflow-mcp-server
Enables Claude to inspect and operate Apache Airflow over its REST API, providing read tools and safe write operations (gated by read-only mode) for managing DAGs, runs, tasks, and pools.
README
airflow-mcp-server
An MCP server that lets Claude inspect and operate Apache Airflow over its REST API. It exposes safe, curated tools (read + a few guarded writes) rather than mirroring the whole API.
Targets Airflow 2 (stable REST API /api/v1). Airflow 3 is intentionally
out of scope.
Runs as a local stdio server: each user runs it on their own machine with their own Airflow credentials, which keeps Airflow RBAC intact.
Status
Working read and write tools against Airflow 2; not yet published.
Read: get_airflow_version, get_airflow_health, list_pools,
list_dags, get_dag, list_dag_runs, get_dag_run, list_task_instances,
get_task_instance, get_task_logs, list_import_errors.
Write (refused when AIRFLOW_MCP_READ_ONLY=true): trigger_dag_run,
set_dag_paused, clear_task_instances (supports dry_run to preview).
Configuration
All settings come from AIRFLOW_MCP_* environment variables (prefixed to avoid
clashing with Airflow's own env). See .env.example.
| Variable | Required | Default | Notes |
|---|---|---|---|
AIRFLOW_MCP_BASE_URL |
yes | - | e.g. http://localhost:8080 (no /api suffix) |
AIRFLOW_MCP_USERNAME / AIRFLOW_MCP_PASSWORD |
one auth method | - | Basic auth |
AIRFLOW_MCP_API_TOKEN |
one auth method | - | Bearer token; wins over basic auth |
AIRFLOW_MCP_READ_ONLY |
no | false |
true disables every write tool |
AIRFLOW_MCP_VERIFY_SSL |
no | true |
|
AIRFLOW_MCP_TIMEOUT |
no | 30 |
seconds |
Use with Claude
Run it straight from GitHub - no clone needed (uvx fetches and runs it):
{
"mcpServers": {
"airflow": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/ssasuoirafen/airflow-mcp-server",
"airflow-mcp"
],
"env": {
"AIRFLOW_MCP_BASE_URL": "http://localhost:8080",
"AIRFLOW_MCP_USERNAME": "airflow",
"AIRFLOW_MCP_PASSWORD": "airflow"
}
}
}
}
Pin a version by appending a ref, e.g. git+https://github.com/ssasuoirafen/airflow-mcp-server@v0.1.0.
For local development, point at a checkout instead:
"command": "uv",
"args": ["run", "--directory", "C:\\path\\to\\airflow-mcp-server", "airflow-mcp"]
The package also installs an airflow-mcp-server executable (same thing) for the longer name.
If published to PyPI later, this simplifies to "command": "uvx", "args": ["airflow-mcp"].
Development
uv sync # install deps
uv run pytest # unit tests (mocked, no network)
uv run pytest -m e2e # opt-in live test; needs a .env pointing at a real Airflow 2
uv run airflow-mcp # run the server (expects an MCP client on stdio)
Roadmap
- Foundation + connectivity (version, health). done
- Read tools: DAGs, DAG runs, task instances, logs, import errors, pools. done
- Safe writes: trigger DAG, pause/unpause, clear/retry tasks (gated by read-only). done
- Packaging metadata and LICENSE. done
- Publish to PyPI. pending
License
MIT - see LICENSE.
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