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Alternatives to EcuDataMCP

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    Related Servers

    • 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.
      12 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
      596 npm
      60
      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.
      9 npm
      1
      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
      340 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

    A3.6/5.0

    Scored across 83 tools

    Disambiguation4/5

    Most tools have clearly distinct scopes, with descriptions that explicitly map each search tool to its source and next-step getters. A few boundaries (e.g., search_inec_publicaciones vs search_inec_estadisticas, search_archivos vs list_catalogo) require careful reading, but the overall set is navigable.

    Naming Consistency5/5

    Tool names follow a consistent snake_case verb_noun pattern throughout (search_*, get_*, list_*, query_*, download_*, etc.). Minor acronyms like SRI and IESS are used uniformly and do not break the convention.

    Tool Count1/5

    83 tools is an extreme mismatch for any server surface, far beyond the typical 3–15 range. Even with a broad multi-source domain, this volume imposes high cognitive load and makes tool selection impractical.

    Completeness4/5

    The surface covers an unusually wide range of Ecuadorian public data sources with search, metadata, download, and preview operations for each. Minor gaps exist for some niche datasets, but most domains have a full search-to-retrieval path.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive