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nl-opendata-mcp

by soulnai
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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    • mcp-data-nl

      pipeworx-io
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables searching, viewing metadata, and querying tabular resources from Netherlands Open Data (data.overheid.nl) via CKAN.
      23 npm
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    • Statline MCP

      athithyai
      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.
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    • mcp-overheid-nl

      pipeworx-io
      A
      license
      Not graded
      quality
      B
      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.
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    • dutch-gov-mcp

      Alishark14
      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.
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    • knmi

      pipeworx-io
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables querying the Dutch KNMI Data Platform Open Data API for weather observations, radar precipitation, forecasts, and climate series, with tools to list datasets, inspect files, and obtain signed download URLs.
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    • mcp-cbs-nl

      pipeworx-io
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables querying Statistics Netherlands (CBS) data, including metadata for tables like '37296eng', through an MCP interface.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    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

    Resources