astro-airflow-mcp
astro-airflow-mcp is a Model Context Protocol (MCP) server (FastMCP-based) that exposes Apache Airflow functionality (via Airflow’s REST API) to AI agents. It can run standalone over MCP (stdio/HTTP) or as an Airflow 3.x plugin, and supports multiple Airflow auth styles (bearer token, basic auth, and username/password with OAuth2 token exchange for Airflow 3.x).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
The tool explicitly mentions excluding connection credentials from list_connections (positive). However, documentation primarily describes how to supply Airflow credentials via environment variables and does not describe fine-grained authorization/scope enforcement, audit logging, CSRF considerations, or explicit transport security requirements for the MCP server itself.
⚡ Reliability
Best When
You want an agent-friendly, typed MCP interface to Airflow metadata and common operational workflows, especially when you already run Apache Airflow and can provide credentials for its REST API.
Avoid When
You need strict rate-limit/latency guarantees or you cannot provide secure secret handling (e.g., safe credential storage) for agent-originated requests.
Use Cases
- • Let AI agents inspect Airflow DAGs/tasks/runs and retrieve source/logs for troubleshooting
- • Agent-driven health checks (imports/warnings/errors, DAG statistics)
- • Agent-initiated operational actions like triggering or pausing/unpausing DAGs
- • Centralized agent access to Airflow metadata (providers/plugins/config/assets/variables/pools)
Not For
- • Highly regulated environments that require strict auditing/least-privilege controls over operational changes
- • Use cases needing guaranteed idempotency for orchestration actions without additional safeguards
- • Environments where outbound network access to the Airflow webserver is not allowed
Interface
Authentication
Auth is delegated to Airflow’s REST API auth mechanisms; the MCP server relays credentials/tokens. README indicates Airflow 3.x uses OAuth2 token exchange for username/password.
Pricing
Open-source project (Apache-2.0). Costs depend on your Airflow infrastructure and any MCP client usage.
Agent Metadata
Known Gotchas
- ⚠ Mutating tools (e.g., trigger_dag, pause_dag, unpause_dag) can cause real side effects; agents should use explicit confirmation/guardrails.
- ⚠ Large log/task outputs may be truncated/limited by the underlying Airflow REST API responses (not documented here).
- ⚠ Server defaults to HTTP mode but MCP clients may require stdio transport; misconfiguration can prevent connection.
Alternatives
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Scores are editorial opinions as of 2026-03-30.