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soulnai

nl-opendata-mcp

by soulnai

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables searching, viewing metadata, and querying tabular resources from Netherlands Open Data (data.overheid.nl) via CKAN.
      3 npm
      1
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables language models to search and query Statistics Netherlands open data, turning natural-language questions into traceable statistics by discovering tables, resolving codes, and retrieving filtered observations.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides access to the Dutch national open-data portal (data.overheid.nl) via CKAN API, enabling listing organizations and datasets through direct tool calls or natural language queries.
      3 npm
      1
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      An unofficial MCP server providing access to Dutch government open data from data.overheid.nl, CBS statistics, and KVK business registry. Enables natural language queries for discovering datasets, inspecting metadata, and querying data without API keys or authentication.
      14
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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables querying Statistics Netherlands (CBS) data, including metadata for tables like '37296eng', through an MCP interface.
      3 npm
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    • A
      license
      B
      quality
      Not graded
      maintenance
      Enables AI assistants and CLI tools to explore and analyze datasets from 600+ global CKAN open-data portals. Provides comprehensive tools for dataset discovery, datastore queries, metadata analysis, and local downloads without writing custom CKAN integrations.
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    TDQS

    A4.1/5.0

    Scored across 9 tools

    Disambiguation5/5

    Every tool serves a clearly distinct purpose: listing, searching, checking availability, estimating size, retrieving metadata, inspecting details, querying data, saving to file, and listing local files. There is no overlap or ambiguity.

    Naming Consistency5/5

    All tools follow a consistent 'cbs_verb_noun' pattern in snake_case (e.g., cbs_list_datasets, cbs_query_dataset). The naming is predictable and well-structured.

    Tool Count5/5

    With 9 tools covering discovery, metadata, querying, and local storage, the count is well-scoped for a data access server. Each tool is justified and the set feels neither sparse nor bloated.

    Completeness4/5

    The tool surface covers the full lifecycle of working with CBS datasets: discovery, metadata inspection, size estimation, querying with filtering, and saving locally. Minor gaps exist (e.g., no delete for local files, no direct download without saving), but these do not hinder core workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues