Dutch Gov

Unofficial MCP server for Dutch government open data. Query thousands of public datasets, official statistics, and the business registry from data.overheid.nl, CBS (Statistics Netherlands), and KVK (Chamber of Commerce) directly through AI conversation.

Inspired by France's official MCP server for data.gouv.fr — the first government MCP server. This project brings the same playbook to the Netherlands.

No API key. No auth. 14 tools. Drop it into Claude Desktop and ask.

What you can do

Ask an AI things like:

• "What datasets are available about housing prices in the Netherlands?"
• "Show me CBS population statistics — what's the dataset identifier and what dimensions does it have?"
• "Which Dutch government organizations publish environmental data?"
• "Query CBS dataset 83765NED for the first 20 observations about Amsterdam neighborhoods."
• "Find unemployment data on both data.overheid.nl and CBS and compare what's available."

The agent discovers datasets, inspects metadata, and queries rows — all through natural conversation.

Data sources

data.overheid.nl — National Open Data Portal (7 tools)

CKAN-based catalog of thousands of public datasets: tax, real estate, environment, transport, health. CC-0 licensed metadata.

Tool	Purpose
search_datasets	Full-text search with optional Solr filters
get_dataset	Full metadata for one dataset
list_resources	Files in a dataset
get_resource	Details for a specific file
list_organizations	Browse publishers
get_organization	Details for one publisher
list_tags	Browse available tags

CBS — Centraal Bureau voor de Statistiek (5 tools)

Official Dutch statistics via OData v4: population, economy, trade, housing, labor.

Tool	Purpose
search_cbs_datasets	Search the CBS catalog
get_cbs_dataset	Dataset metadata + dimension list
get_cbs_dimensions	Dimension definitions with sample values
query_cbs_data	Query observations with $select, $filter, pagination
list_cbs_themes	Browse statistical themes

CBS datasets can contain millions of rows. query_cbs_data returns one page at a time with a next_offset hint — ask for more when you need it.

KVK — Chamber of Commerce (2 tools)

Lookup basic company info and filed financial statements by KVK number. Uses KVK's free open-data endpoints.

Tool	Purpose
lookup_company	Basic company info by KVK number
lookup_company_finances	Filed financial statement metadata by KVK number

Limitations (free dataset only):

• Lookup by 8-digit KVK number only — no search by name, location, or SBI code (that requires a paid KVK subscription)
• Only BV (private limited) and NV (public limited) companies included — no sole proprietorships, VOFs, etc.
• Postal codes truncated to the first 2 digits (privacy)
• Rate limit: 100 requests per 5 minutes

Installation

Claude Desktop (from PyPI — recommended)

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "dutch-gov-mcp": {
      "command": "uvx",
      "args": ["dutch-mcp-server"]
    }
  }
}

Restart Claude Desktop. The tools appear in the MCP picker.

Claude Desktop (from source)

{
  "mcpServers": {
    "dutch-gov-mcp": {
      "command": "uv",
      "args": ["--directory", "/absolute/path/to/dutch-gov-mcp", "run", "dutch-gov-mcp"]
    }
  }
}

Local development

git clone https://github.com/<you>/dutch-gov-mcp
cd dutch-gov-mcp
uv sync
uv run dutch-gov-mcp         # stdio server
uv run pytest -m 'not integration'

Python 3.11+ required.

Install from PyPI

pip install dutch-mcp-server

Examples

Search data.overheid.nl:

search_datasets(query="woningen", max_results=3)
→ {"count": 482, "results": [{"name": "...", "title": "Verkoop woningen", "organization": "...", "tags": [...]}]}

CBS — find, inspect, query:

search_cbs_datasets(query="bevolking")
→ [{"Identifier": "83765NED", "Title": "Kerncijfers wijken en buurten 2017", ...}]

get_cbs_dimensions(dataset_id="83765NED")
→ [{"Identifier": "WijkenEnBuurten", "Title": "Wijken en buurten", "sample_values": [...]}]

query_cbs_data(dataset_id="83765NED", max_results=5)
→ {"rows": [...], "returned": 5, "total": 1617279, "more_available": true, "next_offset": 5}

Future data sources

Planned for future sprints:

• RDW — Vehicle registration
• Kadaster BAG — Addresses and buildings
• PDOK — Geospatial / GIS

Why this exists

France defined what "government AI readiness" looks like. Every government sits on massive public data behind unusable APIs. MCP makes that data accessible to agents. Unofficial, open-source, MIT-licensed.

License

MIT