Skip to main content
Glama

Related Servers

Alternatives to indec-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to query Argentina’s official INDEC statistics through its public API, covering inflation, baskets, wages, economic activity, poverty, population, and foreign trade. Provides Spanish-language tools, resources, and prompts for discovering datasets, filtering series, aggregating data, and generating economic reports.
      19
      628 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables querying Argentina's national time-series data from apis.datos.gob.ar through natural language, as part of the Pipeworx MCP gateway.
      8 npm
      MIT
    • F
      license
      A
      quality
      C
      maintenance
      Provides official INDEC register designs and methodological rules to AI models, enabling accurate EPH data analysis code (R/Python) without hallucinations.
      6
      1
      -
    • 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
      Not graded
      quality
      B
      maintenance
      Enables AI agents and analysts to query UN CEPALSTAT indicators through MCP by resolving natural-language requests into statistically valid indicators and retrieving clean, decoded data with anti-hallucination safeguards.
      MIT

    TDQS

    A3.6/5.0

    Scored across 17 tools

    Disambiguation4/5

    Most tools map to distinct INDEC indicators or mirror operations, and descriptions clarify when to use latest_indicators versus a detailed series. The only mild overlap is between latest_indicators and specific series tools, and between compare_series and querying multiple series, but both boundaries are reasonably clear.

    Naming Consistency4/5

    All names use snake_case and are readable, with mirror tools following a clear verb_noun pattern (list_datasets, describe_dataset, query_sql). The data-series tools are noun-based names (inflation_series, wages, poverty), which is natural for this domain but is a minor departure from a single verb_noun convention.

    Tool Count4/5

    Seventeen tools is slightly above the ideal 3-15 range, but each indicator tool corresponds to a distinct statistical product and the mirror tools add raw-data access. The set is broad but not bloated; each tool earns its place.

    Completeness4/5

    The server covers the major INDEC domains: inflation, activity, wages, baskets, poverty, labor, wholesale and construction prices, industrial production, population, and foreign trade. Minor gaps such as national accounts/GDP are partly offset by economic_activity and by SQL access to the mirrored datasets.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues