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NASA-MCP

by AnCode666
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Python
Remote

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 21 tools

    Disambiguation4/5

    Most tools are clearly distinct, targeting specific NASA datasets or resources like asteroids, Earth imagery, Mars rover photos, and space weather events. However, some overlap exists: get_epic_imagery and get_epic_imagery_by_date could be confusing as they both retrieve EPIC images, though the latter adds date specificity. Similarly, browse_asteroids and get_asteroids_feed both provide asteroid lists but differ in browsing vs. date-based filtering.

    Naming Consistency5/5

    Tool names follow a highly consistent verb_noun pattern throughout, all using snake_case with 'get_' or 'browse_' prefixes followed by descriptive nouns (e.g., get_asteroid_lookup, get_earth_imagery, get_mars_rover_photos). This uniformity makes the tool set predictable and easy to navigate for an agent.

    Tool Count3/5

    With 21 tools, the count is borderline high for a single server, as it covers multiple domains (asteroids, Earth imagery, Mars rovers, space weather, exoplanets). While each tool is specific, the scope feels broad, potentially overwhelming for an agent. A more focused server might split these into subdomains, but the count is still manageable.

    Completeness4/5

    The tool set provides comprehensive coverage for accessing NASA's public APIs, including data retrieval for asteroids, Earth imagery, Mars rovers, space weather events, and exoplanets. Minor gaps exist, such as no direct update or delete operations (expected for read-only APIs) and limited filtering options in some tools, but agents can work around these with the available query parameters.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources