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usa-npn-mcp-server

by VectorInstitute
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Python
Hybrid

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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

    A3.8/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: raw data handling (export/get), individual, site, and magnitude phenometrics, mapping, observation comments, literature and reference queries, and raw status records. There is no overlap or ambiguity among the tool descriptions.

    Naming Consistency4/5

    Tool names consistently use lowercase, hyphen-separated words (e.g., 'export-raw-data', 'individual-phenometrics', 'query-literature'). While not strictly verb_noun, the pattern is uniform and descriptive, with only 'mapping' deviating slightly as a single word.

    Tool Count5/5

    With 10 tools, the server is well-scoped for its domain. Each tool addresses a specific aspect of phenology data access and analysis, covering raw data, aggregated metrics, literature, and reference material without unnecessary duplication.

    Completeness5/5

    The tool set provides comprehensive coverage for the National Phenology Network data: raw observation retrieval, multiple levels of phenometric aggregation, metadata queries, literature search, and mapping. No major gaps are apparent for typical use cases.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

    Resources