Search Astro documentation to find relevant information for Astro-related tasks. This tool enables AI assistants to retrieve specific content from the Astro docs for accurate user support.
203,100 tools. Last updated 2026-06-14 17:07
"Astro" matching MCP tools:
- Trigger an Apache Airflow DAG run and wait for its completion, returning the final state and details of any failed tasks. Blocks until the run ends or times out (default 60 minutes).Apache 2.0
- Retrieve all configured resource pools with slot counts, occupancy, and capacity to manage task concurrency and resource allocation.Apache 2.0
- Retrieve detailed information about a specific task instance in Apache Airflow, including its state, start/end times, duration, retry attempts, operator type, and pool assignment. Use this to investigate failures or monitor task execution.Apache 2.0
- Retrieve astronomy data: sunrise, sunset, moon phase, twilight times, solar noon, moonrise/moonset, and sun/moon positions. Input location by address, coordinates, or IP address.Apache 2.0
- Retrieve the asset events that triggered a specific DAG run, helping you understand why the pipeline started and which data changes caused the execution.Apache 2.0
Matching MCP Servers
- Alicense-quality-maintenanceEnables AI models to interact with Astro projects by providing runtime information, documentation search, route listing, and integration details.Last updated55MIT
- Flicense-qualityDmaintenanceProvides unified natural language access to 40+ astronomical databases and surveys including DESI, SIMBAD, SDSS, and Gaia, enabling researchers to search, retrieve, and analyze astronomical data without learning complex APIs.Last updated3
Matching MCP Connectors
Current time by timezone, astronomy events, and moon phases
Authoritative time intelligence — current time in 597 timezones, sunrise/sunset/twilight times by location (US Naval Observatory), and moon phase calendar. Essential for scientific, agricultural, and scheduling agents.
- Troubleshoot failed or problematic Airflow DAG runs by retrieving run metadata, task instance states, and highlighting failed tasks for quick diagnosis.Apache 2.0
- List asset events produced by task updates. Filter by source DAG, run, or task. Use to debug downstream DAG triggers and track which assets a pipeline produced.Apache 2.0
- Pause a DAG to prevent new scheduled runs while allowing currently running tasks to complete. Use when you need to stop scheduled execution without terminating active tasks.Apache 2.0
- List all configured Airflow connections to external systems (databases, APIs, services) and retrieve their metadata such as connection ID, type, host, port, and schema. Passwords are never returned for security.Apache 2.0
- Retrieve an Airflow variable by key to access its value and metadata, enabling DAG configuration and sharing settings across workflows.Apache 2.0
- Retrieve comprehensive details of any Airflow DAG in one call, including metadata, tasks, dependencies, source code, and errors. Ideal for understanding DAG structure and diagnosing issues without multiple API requests.Apache 2.0
- Resume scheduled runs for a paused DAG by unpausing it, enabling the scheduler to create new runs based on the schedule interval.Apache 2.0
- Retrieve detailed information about a specific Airflow DAG run, including its state, start and end times, duration, run type, configuration, and execution metadata.Apache 2.0
- Retrieve all tracked data assets and datasets in Airflow, including their URIs, IDs, creation and update times, and relationships with consuming DAGs and producing tasks. Ideal for inspecting data lineage and dependencies.Apache 2.0
- Retrieve logs for a specific task execution. View stdout, stderr, error messages, and timing info to debug failures. Specify DAG, run, task, try number, and map index.Apache 2.0
- List all installed Airflow plugins and their components, including hooks, executors, macros, and custom UI views, to inspect available extensions.Apache 2.0
- Retrieve detailed information about a specific Apache Airflow resource pool, including total slots, occupied, running, queued, and open slots to monitor capacity and utilization.Apache 2.0
- List all DAG runs across Airflow with execution status, dates, and run type. Monitor workflow history and quickly identify failed or successful runs.Apache 2.0
- Generate correctly-formatted frontmatter for Hugo, Jekyll, Astro, Next.js, Dev.to, Hashnode, and Ghost. Auto-extracts description, reading time, slug, and suggests tags from article content. No external API calls required.MIT