CBS Open Data

Provides access to CBS Open Data catalogs, datasets, dimensions, and observations via an MCP server.

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5

GitHub Stars

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Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "dstotijn-mcp-cbs-cijfers-open-data": {
      "command": "go",
      "args": [
        "run",
        "github.com/dstotijn/mcp-cbs-cijfers-open-data@latest"
      ]
    }
  }
}

You can use this MCP server to interact with the CBS Open Data API through AI-enabled tools. It exposes a set of operations that let you list catalogs and datasets, inspect metadata and dimensions, and retrieve observations with flexible filtering. This makes it easy to build AI assistants or automation that explore and analyze CBS Open Data.

How to use

You will connect an MCP client to the server to perform actions like listing catalogs, querying datasets, and fetching observations. Use the client’s standard MCP call patterns to invoke the available tools. Start by discovering what catalogs exist, then drill into datasets, their dimensions, and observations. You can shape responses with filters, sorting, and pagination so you only get the data you need.

How to install

Prerequisites: you need Go installed on your system to run the MCP server locally. Ensure your Go toolchain is available on your PATH.

{
  "mcpServers": {
    "cbs_cijfers_open": {
      "command": "go",
      "args": ["run", "github.com/dstotijn/mcp-cbs-cijfers-open-data@latest"]
    }
  }
}

Additional sections

Configuration notes: the MCP server exposes a standard set of tools that you can call through a MCP client. The available tools let you retrieve catalogs, query datasets with advanced filters, inspect dataset dimensions and their values, and fetch observations with optional filters and pagination.

Tools and endpoints

The server provides the following tools for AI assistants to interact with the CBS Open Data API:

Available tools

get_catalogs

Retrieves all available CBS data catalogs.

query_datasets

Lists datasets from the CBS Open Data API with advanced filtering, sorting, and pagination options.

get_dimensions

Retrieves all dimensions for a specific dataset.

get_dimension_values

Retrieves all values for a specific dimension with filtering and sorting options.

get_observations

Retrieves observations from a specific dataset with optional filters.

query_observations

Queries observations with advanced OData query options to filter, sort, and shape results.

get_metadata

Retrieves the OData service metadata document for the CBS API.