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Alternatives to EcuDataMCP

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to query Ecuador government procurement (SERCOP/Compras Públicas) data without API keys, via natural language or direct tools.
      136 npm
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI assistants to search, explore, and query any CKAN open data portal through natural language, making public datasets accessible without requiring knowledge of the portal's API.
      20
      1,069 npm
      59
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to search, read, and explore thousands of public datasets from Chile's open government data portal (datos.gob.cl) without requiring an API key.
      10 npm
      1
      MIT
    • A
      license
      A
      quality
      C
      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.
      28
      430 npm
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to search and retrieve metadata and data files from Peru's National Open Data Platform, and generate Jupyter notebooks for data analysis.
      4
      Apache 2.0
    • A
      license
      A
      quality
      C
      maintenance
      Enables AI agents to query Uruguay's open government data from multiple sources (national catalog, Central Bank, statistics institute, Montevideo city data and transport, and gub.uy service catalog) through a meta-discovery layer.
      5
      MIT

    TDQS

    B3.4/5.0

    Scored across 90 tools

    Disambiguation3/5

    Most tools target distinct sources and descriptions explicitly cross-reference the next step, but several near-duplicates create real overlap: three CKAN entry points (search_ecuador, search_datasets, investigate_dataset) and multiple file/archive tools (search_archivos, list_archivo_secciones, get_archivo_seccion, download_resource, list_zip_contents). With 90 tools the sheer volume of similar search_*/get_* pairs makes misselection likely.

    Naming Consistency4/5

    Names are overwhelmingly consistent snake_case with a verb-first prefix (search_, get_, list_, download_, query_, read_), making the pattern predictable. A few deviations in verb choice (lookup_ubicacion, investigate_dataset, detect_series_pattern) are minor and still readable.

    Tool Count2/5

    90 tools is far beyond a comfortable agent-facing surface and exceeds the 50+ threshold; even accounting for the very broad multi-institution scope, this is unwieldy and error-prone. Many tools could be grouped or scoped by source family.

    Completeness4/5

    The search-to-get/list-to-download/preview lifecycle is covered for virtually every source across INEC, BCE, SRI, SERCOP, CEPALSTAT and more, with clear fallbacks when microdata or history is absent. Gaps are minor (some sources return links only, no OCR for scanned PDFs).

    Maintenance

    ActivityNo data
    ResponsivenessNo issues