mcp-cbs-cijfers-open-data
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This project provides a Model Context Protocol (MCP) server for the CBS Open Data API, enabling AI tools to interact with CBS Open Data through MCP tools.
The mcp-cbs-cijfers-open-data project is designed to facilitate interaction with the CBS Open Data API using the Model Context Protocol (MCP). It provides a server that allows AI tools to access and manipulate data from the CBS Open Data API. The server implements various tools that enable users to list datasets, query metadata, retrieve statistical data, and explore dimension values. This project is particularly useful for developers and data scientists who need to integrate CBS Open Data into their applications or research projects. By leveraging the MCP server, users can perform complex data queries and retrieve information in a structured and efficient manner.
Features
- Implements a Model Context Protocol (MCP) server
- Provides tools for interacting with the CBS Open Data
- Allows listing of available datasets and catalogs
- Enables querying of dataset metadata and dimensions
- Facilitates retrieval of statistical data with filtering options
Tools
get_catalogs
Retrieves all available CBS data catalogs.
query_datasets
Lists available 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.
