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    • A
      license
      Not graded
      quality
      B
      maintenance
      OneGoodArea gives AI agents and developer tools access to sourced, dated and confidence-rated place intelligence across Great Britain. Resolve locations, analyse and compare neighbourhoods, discover similar areas, generate decision-focused briefs and monitor changes through 12 MCP tools backed by deterministic, explainable data.
      345 npm
      MIT
    • -
      license
      Not graded
      quality
      C
      maintenance
      Provides real-time London area intelligence including postcode data, crime, schools, transport, and investment metrics, enabling AI assistants to answer property-related queries.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to shortlist London neighbourhoods and assess homes and listings, drawing on official open data for recorded sale prices, rents, crime, schools, flood risk, noise and commute times. Every answer returns a cited evidence envelope with confidence, sources, licences and caveats.
      MIT
    • F
      license
      A
      quality
      B
      maintenance
      Enables AI agents to turn Great Britain postcodes into structured property, demographic, energy, school, healthcare, rail, and broadband context, compare locations, and batch-enrich up to 50 postcodes per request via remote MCP and REST with x402 payments.
      2
      10
      -
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI assistants and agents to query real neighbourhood data around a property, including nearest schools, nurseries, supermarkets, public transport, train stations, motorway access, distances with travel times, and quotable summaries across 25 countries.
      4
      43 npm
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Unified UK property search across major portals with deduplication and open-data enrichment, enabling natural-language queries for listings, sold prices, EPC, crime, schools, and market stats.
      10
      MIT

    TDQS

    A3.9/5.0

    Scored across 7 tools

    Disambiguation4/5

    Tools are mostly distinct, with get_area_context and fetch potentially overlapping (both return full area intelligence). However, fetch is specifically for postcode districts from search results, so they are differentiated by usage context.

    Naming Consistency3/5

    Naming convention is mixed: three tools use get_ prefix, while others use bare verbs (search, compare_areas, fetch) or a different prefix (search_areas). This inconsistency can be confusing for an agent.

    Tool Count5/5

    With 7 tools covering core operations (score, context, search, compare, market pulse), the count is well-scoped for the domain of UK property area intelligence.

    Completeness4/5

    The tool surface covers key functionalities: scoring, detailed context, search, comparison, and live market data. Minor gap: no tool for historical trends or user-specific data input.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues