NASA MCP Server
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Alternatives to NASA MCP Server
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Related Servers
- AlicenseBqualityCmaintenanceAn MCP server that enables LLMs to query data from various NASA APIs, allowing access to astronomical data, space weather information, Earth imagery, and exoplanet information directly from compatible AI clients.216MIT
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- AlicenseCqualityDmaintenanceA Model Context Protocol (MCP) server that provides access to NASA's Astronomy Picture of the Day (APOD) API.2ISC
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- AlicenseAqualityDmaintenanceA Model Context Protocol server for space weather and geomagnetic conditions, enabling AI agents to answer queries about solar flares, solar wind, geomagnetic storms, aurora forecasts, and more from authoritative data.1527 PyPIMIT
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TDQS
Scored across 32 tools
Most tools target distinct NASA data sources, but several pairs overlap: nasa_neo and jpl_cad both handle close approaches, jpl_sentry and jpl_scout both assess impact risk, and jpl_horizons and jpl_horizons_file offer the same data via different HTTP methods. Descriptions help distinguish these, but an agent could still misselect.
All tool names use consistent snake_case with a clear provider prefix (nasa_ or jpl_) and service-oriented nouns. The pattern is predictable throughout, with only minor abbreviations like jpl_jd_cal that still fit the convention.
32 tools is well above the recommended 3–15 range and feels heavy even for a broad NASA data server. While each tool maps to a distinct API, the set would be more manageable if split into focused sub-servers.
The surface covers many NASA APIs but misses major ones like NTRS, ADS, PDS, and HEASARC. Additionally, some included tools are deprecated or frozen (nasa_mars_rover, nasa_insight_weather), creating dead ends that limit reliable coverage.