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.
Get sunrise, sunset, moonrise, moonset, moon phase, and illumination data for any location using latitude/longitude, city name, or other location identifiers.
Get sunrise, sunset, moonrise, moonset, moon phase and illumination data for any location using latitude/longitude, city name, zip code, or IP address.
Insert new data records into specified collections within Astra DB, enabling structured storage and management through natural language commands on the MCP Server.
Retrieve all collections stored in the Astra DB database using the MCP Server, enabling efficient database management and interaction through natural language commands.
Build a new database collection in Astra DB MCP Server, specifying collection name and optional vector properties for efficient data organization and retrieval.
Provides 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.
Enables access to Astro's App Store Optimization (ASO) database for analyzing app rankings, keyword trends, historical performance data, and app ratings. Provides comprehensive tools for tracking and comparing app store performance metrics through natural language queries.
An MCP server that provides AI assistants with access to Astro documentation, enabling them to search and reference Astro docs when helping users with Astro-related tasks.