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bartosz-kuc

gios-air-mcp

by bartosz-kuc
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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

    A3.9/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action: stations, sensors, readings, and air index. There is no overlap, and an agent can easily determine which tool to call for a given query.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (list_stations, get_station_sensors, get_sensor_readings, get_air_index). The naming is uniform, predictable, and uses clear, specific verbs.

    Tool Count5/5

    With exactly 4 tools, the server is tightly scoped to air quality monitoring without redundancy. Each tool covers a necessary step in the workflow, making the count ideal for the domain.

    Completeness4/5

    The tool surface covers the full core workflow: discover stations, inspect sensors, fetch readings, and get an aggregated index. Minor gaps include lack of historical readings beyond 24 hours and no station metadata endpoint, but these are acceptable for a minimal yet functional set.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources