Connect Airflow to any MCP-compatible AI chat interface through Redbird MCP. Query pipeline runs, trigger DAGs, investigate task failures, and coordinate data workflows — all from the AI tool you're already using, whether that's Claude, ChatGPT, Gemini, or any other LLM that supports the Model Context Protocol.
Your team can ask Any LLM via MCP to query, update, and automate Airflow data — all through Redbird MCP, directly from the chat interface.
Ask your AI assistant about DAG run history, success rates, and active tasks through Redbird. Surface failure logs and retry attempts without switching to the Airflow UI.
Kick off pipeline executions, schedule backfills for specific date ranges, or restart failed tasks through Redbird. Your AI assistant handles the orchestration commands while you stay in conversation.
Query which tasks are blocking downstream jobs or view the dependency graph for complex DAGs through Redbird. Understand pipeline bottlenecks without parsing configuration files.
Surface task failures, duration anomalies, and SLA breaches directly in your AI chat through Redbird. Catch production issues before they cascade to downstream systems.
Modify DAG parameters, pause or unpause workflows, and adjust retry logic through Redbird. Make quick fixes to production pipelines without editing code or redeploying.
Redbird MCP bridges your tools with your AI chat — securely connecting Airflow so Any LLM via MCP can read and write your data on demand.
Authorize Redbird to access your Airflow account. Redbird MCP handles authentication and permissions securely — no code required.
Open your Any LLM via MCP chat interface. Redbird MCP is available as a connected tool, giving Any LLM via MCP access to your Airflow data and workflows.
Ask Any LLM via MCP anything about your Airflow data through Redbird — query records, trigger updates, generate reports, or move data to other connected tools.
Through Redbird MCP, Any LLM via MCP can read from Airflow, write to Airflow, and move data between Airflow and other connected tools — all from a single chat message.
Ask your AI assistant to retrieve execution history, task durations, and error logs from Airflow through Redbird. Review what ran last night or diagnose why a specific task keeps failing.
Tell your AI assistant to start a DAG run, backfill missing data for a date range, or adjust retry settings through Redbird. Execute orchestration commands without leaving your chat interface.
Ask your AI assistant to send DAG run summaries, failure notifications, or SLA breach alerts from Airflow to specific Slack channels through Redbird. Keep your team informed without manual status updates.
Redbird MCP connects Airflow to any MCP-compatible AI interface — so you can orchestrate, monitor, and troubleshoot data pipelines from the AI chat tool you already use every day.