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Adeniyikayodee

gagelink

by Adeniyikayodee
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Python
Remote

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    • river-watershed-mcp

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    • USGS Water MCP

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    • mcp-usgs-water-data

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    • HRFCO MCP Server

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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

    A3.7/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools have clearly distinct resource/action boundaries, and the descriptions are specific. The main confusable pair is get_forecast and get_model_forecast, both involving forecasts, though their sources and outputs differ. At most one or two tools could cause a misselection here.

    Naming Consistency5/5

    All names follow a consistent verb_noun snake_case pattern. get_* is used for retrieval-style operations, and describe_, find_, slice_, navigate_, lookup_, and export_ clearly mark other action types. The overlap in name between get_forecast and get_model_forecast is a semantic concern, not a naming-pattern violation.

    Tool Count5/5

    Thirteen tools is a well-scoped size for a water-data domain. Each tool covers a distinct part of the workflow—searching, metadata, observations, series, peaks, forecasts, satellite data, network traversal, basin geometry, parameter lookup, and export——so no tool feels redundant or missing from the count perspective.

    Completeness4/5

    The set covers the main observational lifecycle well: discover locations, describe metadata, get latest values, get and slice time series, get peaks, get forecasts, navigate upstream/downstream, and resolve parameter codes. The main gap is that get_satellite_passes requires a SWORD reach identifier, but the toolkit has no way to discover or translate a USGS location into that identifier, leaving that tool somewhat isolated.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources