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Related Servers

Alternatives to StatCite

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to access official statistical and economic indicator datasets from Eurostat, World Bank, OECD, IMF, WHO, and national statistical offices across 150+ countries through natural-language dataset discovery, inspection, time-series retrieval, SQL queries, CSV export, and account/watchlist management.
      MIT
    • A
      license
      A
      quality
      F
      maintenance
      Enables AI agents to discover, retrieve, compare, and analyze trusted macroeconomic statistics from central banks and international organizations, resolving concepts to official series with provenance and validation.
      6
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query cross-country macroeconomic and financial statistics, including GDP, inflation, fiscal balance, debt, exchange rates, trade, and balance-of-payments data for comparison and time-series analysis.
      423 npm
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.
      10
      2
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Connect your ads, shop, analytics, social, CRM and finance platforms once, then let Claude, ChatGPT, Cursor or any MCP client read, join and explain your numbers. Public statistics from the World Bank, IMF, Eurostat, OECD, WHO and SEC filings come as context, searchable and chartable from the same tools. Read-only by design, every number carries its source.
      57
      102 npm
      2
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      MCP server serving official statistics from major data agencies (Statistics Canada, FRED, BLS, World Bank, etc.) as tools with provenance and verification, enabling search, retrieval, analysis, and monitoring via natural language.
      11
      57 npm
      MIT

    TDQS

    A4.1/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools have clearly distinct roles: retrieval, verification, conversion, discovery, and comparison are separated. However, search vs. search_indicators and get_indicator vs. get_series vs. fetch have some boundary overlap that an agent must parse from descriptions. country_snapshot vs. get_indicator is also somewhat overlapping but clarified by the snapshot's bundled scope.

    Naming Consistency3/5

    The names use snake_case throughout and are readable, but they mix conventions: verb_noun (get_indicator, verify_stat, compare_sources), bare verbs (search, fetch), and noun/verb forms (country_snapshot, inflation_adjust). The inconsistency is not chaotic, but there is no single predictable pattern.

    Tool Count5/5

    Twelve tools is well within the ideal range and each tool appears to earn its place across discovery, retrieval, verification, conversion, and source comparison. The set is broad but not bloated for an economic-statistics citation server.

    Completeness5/5

    The surface covers source discovery, indicator search, single and multi-source retrieval, country snapshots, currency and inflation adjustment, single-claim and whole-draft verification, and source comparison. It also explicitly handles fallback sources, disabled sources, and unverifiable claims, leaving no obvious lifecycle gap for the stated purpose.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive