Retrieve the running Apache Airflow version to check API compatibility, feature availability, and verify upgrade success. Returns version string and git commit hash.
Apache 2.0
205,112 tools. Last updated 2026-06-15 04:40
"Apache Airflow" matching MCP tools:
- Resume scheduled execution of an Apache Airflow DAG by setting its paused state to false and returning the workflow's UI link.Apache 2.0
- Trigger Apache Airflow DAG runs with optional configuration parameters to execute workflows on demand.Apache 2.0
- Modify configuration parameters for an existing Amazon Managed Workflows for Apache Airflow (MWAA) environment, including DAG paths, scaling settings, and Airflow versions.Apache 2.0
- Provides best practices guidance for designing, optimizing, and securing Apache Airflow workflows on Amazon MWAA, covering DAG patterns, performance, resource management, error handling, and security.Apache 2.0
- Retrieve and monitor dataset events in Apache Airflow to track data dependencies and workflow triggers for data-driven pipelines.Apache 2.0
Matching MCP Servers
- AlicenseCqualityBmaintenanceProvides 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 updated68166MIT
- Alicense-quality-maintenanceAn MCP server that wraps the Apache Airflow REST API, enabling clients to manage DAGs, monitor task instances, and handle workflows through a standardized interface. It provides comprehensive access to Airflow features including DAG runs, variables, connections, and XComs.Last updated
Matching MCP Connectors
The first artist-owned MCP server. Discover, narrate, and stream Matthew Hartley's debut album The Time Is Now from any compatible AI client. Exposes 8 tools (list_songs, get_song, list_chapters, get_chapter, get_artist, get_experience, get_experience_prompt, refresh_stream_urls) over a public HTTP endpoint with no auth. Apache 2.0 licensed.
Content-addressed, ed25519-signed memory of every place on Earth. Apache-2.0, no keys for reads.
- Retrieve a specific DAG run from Apache Airflow with its details and UI link for monitoring workflow execution status.Apache 2.0
- List Apache Airflow environments in AWS to monitor and manage your data workflows. Retrieve environment details using AWS profiles and region settings.BSD 3-Clause
- List all provider packages installed in your Apache Airflow system to understand available integrations.MIT
- Check the health status of an Apache Airflow cluster to ensure all components are running correctly.MIT
- Retrieve the current version of your Apache Airflow instance to verify cluster setup.MIT
- Generate Apache .htaccess file text for security, redirects, caching, compression, and access control using structured options. No file writing; returns the text for copying.MIT
- List all installed Airflow plugins and their components, including hooks, executors, macros, and custom UI views, to inspect available extensions.Apache 2.0
- List installed Apache Airflow provider packages with their versions, descriptions, and included operators, hooks, and sensors. Responds to queries about provider availability and integration details.Apache 2.0
- Lists all Apache Airflow DAGs with metadata including status, schedule, tags, and owners for workflow discovery and monitoring.Apache 2.0
- Generates Apache 2.4, nginx, and Caddy 2 configuration files from a single structured input, including TLS, reverse proxy, PHP-FPM, static file serving, security headers, and logging.MIT
- Identify and troubleshoot DAG files that failed to parse or load in Apache Airflow. Returns import error details including stack traces, file paths, and timestamps to help diagnose missing imports, syntax errors, and module issues.Apache 2.0
- Check overall Airflow system health by retrieving import errors, DAG warnings, statistics, and version information. Provides a consolidated view of potential issues for quick diagnostics and workflow monitoring.Apache 2.0
- Retrieve complete Airflow configuration settings organized by sections such as core, database, and webserver, with key, value, and source for each parameter.Apache 2.0
- Trigger a new DAG run to manually execute a workflow in Apache Airflow. Optionally pass configuration parameters that become available to the DAG during execution.Apache 2.0