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mcpwright
by mcpwright

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    • A
      license
      A
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      B
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      Enables looking up U.S. Census data by ZIP code, including income, demographics, housing, and education statistics, using a locally stored dataset from the American Community Survey.
      8
      45 PyPI
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    • F
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      C
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      Enables location intelligence for US ZIP codes, allowing users to search, profile, and compare ZIP codes across various domains like crime, income, schools, and more.
      -
    • A
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      A
      quality
      D
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      Enables AI agents to access SEC EDGAR filings, US Treasury rates, BLS labor statistics, and economic indicators without API keys.
      6
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    • A
      license
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      quality
      C
      maintenance
      Enables models to query real US government data (BLS, BEA, Census, IRS 2026) to calculate 2026 take-home pay across all 50 states plus DC, compare cost-of-living-adjusted salaries between 50 US metros, retrieve tax bracket ladders, and look up occupation-level salary percentiles. Exposes five read-only tools over a free, keyless remote Streamable HTTP endpoint.
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    • F
      license
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      quality
      B
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      Enables LLM agents to query the Explore Local Statistics API for local area data like employment rates and demographics.
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    • A
      license
      Not graded
      quality
      C
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      Provides access to the US Census Bureau API, allowing AI agents to retrieve demographic data and population statistics across thousands of datasets. It enables users to search for datasets, discover variable codes, and query specific geographic data like states and counties.
      MIT

    TDQS

    A4.4/5.0

    Scored across 10 tools

    Disambiguation5/5

    Each tool targets a distinct facet of SOI data: validation, income, distribution, tax, credits, deductions, filing status, comparison, state aggregates, and raw field access. No two tools overlap in purpose, making selection unambiguous.

    Naming Consistency5/5

    All tool names follow a clear verb_noun pattern with lowercase and underscores: lookup_zip, get_income, get_agi_distribution, compare_zips, etc. The variation in verbs (lookup, get, compare) is natural and consistent with each tool's action.

    Tool Count5/5

    With 10 tools, the set is well-scoped for a domain-specific SOI server. Each tool covers a major data category, and the count fits comfortably within the ideal 3-15 range without redundancy or bloat.

    Completeness5/5

    The surface covers the full range of SOI data categories: counts, income, tax, credits, deductions, filing status, comparison, state-level totals, and a raw field escape hatch. There are no obvious dead ends or missing lifecycle operations for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues