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 scientific literature research through multi-agent search, analysis, and semantic memory, exposing 9 MCP tools for querying, storing, and retrieving research findings.
MCP server that provides tools to query 17+ astronomical databases (e.g., SIMBAD, VizieR, Gaia) via HTTP/TAP APIs, enabling AI applications to access astronomical data through natural language.
Enables AI agents to query public astronomy catalogs via TAP, with schema discovery, bounded ADQL queries, and reproducible results including exact queries, limits, and assumptions.
A local, open-source MCP server that wraps astronomy data services (SIMBAD, JPL Horizons, VizieR, etc.) behind a conversational interface, enabling AI assistants to answer astronomy questions with real, typed, and provenance-tracked data.
Enables AI assistants to interact with the SciX (formerly NASA ADS) API to search scientific literature, export citations, and analyze bibliometric data. It supports advanced tools for managing libraries, resolving astronomical object names, and exploring citation networks.
