Best Apache Airflow MCP Servers
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows.
Why this server?
Provides comprehensive access to Apache Airflow's REST API, enabling capabilities such as DAG management, task monitoring, log retrieval, and system health diagnostics.
AlicenseAqualityFmaintenanceAn MCP server that enables AI assistants to interact with Apache Airflow's REST API for DAG management, task monitoring, and system diagnostics. It provides comprehensive tools for triggering workflows, retrieving logs, and inspecting system health across Airflow 2.x and 3.x versions.Last updated3112Apache 2.0Why this server?
Provides comprehensive tools for managing Amazon MWAA environments and Apache Airflow operations, including DAG management, workflow execution monitoring, task instance tracking, and accessing Airflow connections and variables.
AlicenseAqualityBmaintenanceEnables management of Amazon Managed Workflows for Apache Airflow (MWAA) environments and operations including DAG management, workflow execution monitoring, and access to Airflow connections and variables through a unified interface.Last updated212Apache 2.0Why this server?
Allows inspection and operation of Apache Airflow over its REST API, providing tools for managing DAGs, DAG runs, task instances, logs, pools, and import errors.
AlicenseAqualityBmaintenanceEnables 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.Last updated14MITWhy this server?
Provides tools to interact with Apache Airflow instances to inspect DAGs, monitor DAG runs, retrieve task logs, and perform write operations such as triggering DAGs and clearing task instances.
AlicenseAqualityAmaintenanceEnables inspection and management of Apache Airflow DAGs, runs, and logs across multiple instances. It provides tools for monitoring workflows and performing gated write operations like triggering DAGs or clearing task instances.Last updated162Apache 2.0Why this server?
Provides tools for managing Apache Airflow DAGs, DAG runs, task instances, and logs via the Airflow REST API.
AlicenseBqualityBmaintenanceA Model Context Protocol server that exposes Apache Airflow's REST API to AI agents, enabling them to inspect and operate on DAGs, DAG runs, task instances, and logs.Last updated9MITWhy this server?
Allows interaction with Apache Airflow REST API, providing tools to list DAGs, get DAG runs, trigger runs, check task instances, and monitor scheduler health.
AlicenseAqualityBmaintenanceMCP server exposing Apache Airflow REST API operations as tools — list DAGs, inspect runs and task instances, trigger DAG runs, and check failed DAGs and scheduler healthLast updated72MITWhy this server?
Allows interaction with Apache Airflow through a Model Context Protocol server that wraps Airflow's REST API. Supports DAG management (listing, viewing details, pausing/unpausing), DAG runs (listing, creating), task management (listing tasks and task instances), and system information (health status, version, import errors).
AlicenseCqualityCmaintenanceProvides a standardized way for MCP clients to interact with Apache Airflow's REST API, supporting operations like DAG management and monitoring Airflow system health.Last updated68170MITWhy this server?
Provides comprehensive access to Apache Airflow's REST API, enabling management of DAGs, DAG runs, tasks, variables, connections, pools, XComs, datasets, and monitoring features. Supports both token-based and basic authentication, with special compatibility for Astronomer Cloud deployments.
AlicenseCqualityDmaintenanceA Model Context Protocol server that wraps Apache Airflow's REST API with Bearer token authentication support, enabling AI assistants to interact with Airflow deployments including Astronomer Cloud.Last updated66MITWhy this server?
Provides comprehensive monitoring and management of Apache Airflow clusters through natural language queries, including DAG inspection, task monitoring, health checks, cluster analytics, pool management, variable management, XCom operations, and event logging without requiring direct API complexity.
AlicenseCqualityCmaintenanceMonitor and manage Apache Airflow clusters through natural language queries via MCP tools: DAG inspection, task monitoring, health checks, and cluster analytics without API complexity. * Guide: https://call518.medium.com/mcp-airflow-api-a-model-context-protocol-mcp-server-for-apache-airflow-5dfdfb2Last updated5449MIT