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real-estate-data-mcp-server

by AiAgentKarl
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Python
Remote

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    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 6 tools

    Disambiguation4/5

    Tools like get_housing_stats, get_cost_of_living, and get_area_demographics overlap in scope but are distinguished by their specific focus on raw housing data, affordability indices, and demographics, respectively. The descriptions clarify these differences, though potential confusion remains between similar state-level data retrieval tools.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern using underscores (e.g., get_area_demographics, compare_areas), with 'get' as the common action verb. No mixing of casing or verb styles is observed.

    Tool Count5/5

    6 tools is an appropriate scope for a real estate data server, covering key area-level statistics, comparisons, and nearby amenities without being excessive or sparse. Each tool has a distinct role.

    Completeness4/5

    The tool set covers essential area-level housing, demographic, and cost-of-living data, plus neighborhood search and amenities. Minor gaps include the absence of zip-code-level data and property-specific listings, but these are within the stated domain focus.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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