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Alternatives to MDA DB MCP

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    • A
      license
      A
      quality
      D
      maintenance
      Enables querying China National Bureau of Statistics data including economic indicators, time series, and regional statistics. Supports natural language search, batch queries, comparisons, and analysis across monthly, quarterly, and yearly datasets.
      31
      56 npm
      8
      Apache 2.0
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides database access capabilities to Claude with support for both SQLite and SQL Server databases. It enables users to manage schemas, execute SQL queries, and export results through natural language interaction.
      1,009 npm
      MIT
    • A
      license
      Not graded
      quality
      F
      maintenance
      Enables connecting to any SQL database, exploring schemas, running queries, and visualizing results with interactive charts from Claude Desktop.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables querying Korean official statistics from KOSIS via natural language in MCP clients like Claude Desktop, wrapping the KOSIS OpenAPI for search, data retrieval, and metadata exploration.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables querying Hong Kong Census and Statistics Department open data via natural language or direct tool calls through the Pipeworx gateway.
      152 npm
      MIT

    TDQS

    A4/5.0

    Scored across 14 tools

    Disambiguation5/5

    Although several tools touch exploration (find_variables, search_metadata, list_tables, describe_table), the descriptions explicitly delineate boundaries—e.g. find_variables searches the semantic harmonization layer while search_metadata does exact substring matching on physical structure. Hierarchical listers (schemas/tables/surveys/sections) and the stats/plot pair are clearly distinct. No two tools appear interchangeable.

    Naming Consistency4/5

    Almost all names follow a clean verb_noun snake_case pattern (describe_table, run_query, list_surveys, find_variables, plot_variable, search_metadata, rebuild_metadata_index). Only variable_stats and metadata_index_status deviate into noun_noun form, but they read consistently as 'X_stats'/'X_status' queries and cause no confusion.

    Tool Count5/5

    14 tools sit comfortably in the well-scoped range for a rich survey-microdata domain. Each tool maps to a distinct workflow stage—discovery, inspection, query, analysis, documentation, index maintenance—so nothing feels padded or redundant.

    Completeness4/5

    The surface covers discovery (schemas, tables, surveys, sections, variables), inspection (describe_table, sample_rows), querying (run_query), analysis (variable_stats, plot_variable), authoritative docs (read_guide) and index management, which is strong lifecycle coverage. Minor gaps remain—no result export/download or crosstab/join helpers—but agents can work around these with run_query.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues