CASDA MCP Server
Related Servers
Alternatives to CASDA MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceAn MCP server exposing IVOA-compliant astronomical archives (NOIRLab Astro Data Lab, NRAO/ALMA, CADC, ESO, Gaia, …) to LLM clients.40 PyPI2MIT
- AlicenseNot gradedqualityDmaintenanceEnables querying of the Cassini-Huygens mission dataset with tools for listing, searching, counting, aggregating, and browsing activities.MIT
- AlicenseNot gradedqualityBmaintenanceEnables querying NASA Exoplanet Archive data using ADQL TAP, planet search, composite parameters, Kepler candidates, and microlensing events.188 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables researchers to query DigitalBrain data catalogs, brain region profiles, gene expression summaries, and paper evidence, and download approved results through MCP-compatible clients.MIT
- AlicenseNot gradedqualityDmaintenanceA read-only MCP server over the Cassini-Huygens mission dataset exposing tools for querying activity data such as listing, searching, counting, aggregating, and timeline analysis.1MIT

hepdata-mcpofficial
AlicenseAqualityBmaintenanceEnables discovery of HEPData records, tables, and data access with read-only operations and export links.9GPL 2.0
TDQS
Scored across 45 tools
Most tools have clearly distinct purposes. The only notable overlap is that casda_get_staging_status is explicitly noted as an alias of casda_get_data_job for full-file staging jobs, which could cause minor confusion. Other search, retrieval, and management tools are well-separated.
All tool names follow a consistent 'casda_<verb>_<noun>' pattern in snake_case, with verbs like get, search, list, create, abort, delete, etc. There is no mixing of conventions, and the naming is predictable.
With 45 tools, the surface is large but arguably justified given the breadth of CASDA operations (search, staging, downloads, TAP, data jobs). However, it differs from the typical 3-15 tool ideal and could be streamlined by consolidating some functions.
The tool set covers core workflows: metadata search, product retrieval, staging, downloading, and job management. Minor gaps exist, such as no tool to list all active data jobs or to update staged requests, but these are not critical for most use cases.