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mcp-cbs-cijfers-open-data

by dstotijn

This project provides a Model Context Protocol (MCP) server for the CBS Open Data API. It allows AI tools to interact with the CBS Open Data through MCP tools.

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What is mcp-cbs-cijfers-open-data?

This is a Model Context Protocol (MCP) server that acts as an interface between AI tools and the CBS Open Data API, enabling AI to access and utilize Dutch statistical data.

How to use mcp-cbs-cijfers-open-data?

The server provides a set of tools (get_catalogs, query_datasets, get_dimensions, etc.) that can be called via the MCP protocol. Configuration examples are provided for common MCP hosts like Claude Desktop and Cursor. It can also be run manually with command-line options.

Key features of mcp-cbs-cijfers-open-data

  • Implements Model Context Protocol (MCP) server

  • Lists available datasets and catalogs

  • Queries dataset metadata and dimensions

  • Retrieves statistical data with filtering options

Use cases of mcp-cbs-cijfers-open-data

  • Automated data analysis using AI

  • Integrating Dutch statistical data into AI models

  • Building AI-powered dashboards and reports

  • Enabling AI agents to answer questions based on CBS data

FAQ from mcp-cbs-cijfers-open-data

What is the CBS Open Data API?

The CBS Open Data API provides access to statistical data from the Dutch Central Bureau of Statistics (CBS).

What is Model Context Protocol (MCP)?

MCP is a protocol that allows AI tools to interact with external services and data sources.

How do I install the server?

You can install the server using go install github.com/dstotijn/mcp-cbs-cijfers-open-data@latest after installing Go.

What are the available tools?

The server provides tools like get_catalogs, query_datasets, get_dimensions, get_observations, and get_metadata.

How do I configure the server for my MCP host?

Configuration examples are provided in the README for Claude Desktop and Cursor. You'll need to specify the command and arguments to run the server.