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nyc-property-intel

by ccedacero
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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

    A3.9/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools have distinct purposes clearly described, but there is potential confusion between get_hpd_complaints (complaints) and get_property_issues (violations), as both deal with property condition. Similarly, get_dob_complaints and get_311_complaints might be conflated. However, detailed descriptions mitigate ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern using snake_case (e.g., get_evictions, search_comps). The verbs are descriptive and predictable, making it easy for an agent to infer tool functionality from the name.

    Tool Count5/5

    With 18 tools, the set is comprehensive without being overwhelming. Each tool covers a distinct NYC data source or analysis function, and the count is well-aligned with the server's purpose of providing detailed property intelligence.

    Completeness4/5

    The server covers a wide range of NYC property data including violations, complaints, permits, evictions, crime, sales, taxes, and neighborhood statistics. Some niche datasets like flood zones or school quality are missing, but core due diligence needs are met.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources