The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Monumenten listing page.
A Model Context Protocol (MCP) server that enables AI assistants to check monumental status of Dutch addresses relevant for woningwaardering (rent-point system). Connects to the Dutch BAG (Basisadministratie Adressen en Gebouwen) data and Ministry of Cultural Heritage (Rijksdienst voor het Cultureel Erfgoed) to identify national monuments, nationally protected cityscapes, and municipal monuments.
Built on the MCP Python SDK v2 (MCPServer). Tools return structured results; validation and lookup failures raise ToolError (is_error=true) so the model can retry.
Requires Python 3.11+.
[!NOTE] This MCP server is based on the monumenten package. For more information, see the monumenten package.
This MCP server allows AI assistants to:
verblijfsobject_id)| Tool | Parameters | Result |
|---|---|---|
get_verblijfsobject_id | house_number, postal_code OR street + house_number + city, optional house_letter, house_suffix | Structured matches list of BAG verblijfsobject records |
get_monumental_status | bag_verblijfsobject_id (16 digits) | Structured monumental status (provincie, rijksmonument, rijksbeschermd stads-/dorpsgezicht, municipal monument; provinciaal_monument is always null) |
Add to your AI assistant's MCP configuration:
For local development:
Streamable HTTP (mcp-monumenten --http) listens on http://127.0.0.1:8000/mcp by default.
Requires uv. Then:
Or add the server directly: claude mcp add monumenten -- uvx mcp-monumenten.
"What is the monumental status of Coolsingel 30, Rotterdam?"
The AI will:
"Is 1234AB 30-2 a rijksmonument?"
The AI can handle:
The server handles Dutch address formats:
1234AB 30 - Basic postal code + house number1234AB 30-2 - With house number suffix1234AB 30A - With house letterCoolsingel 30, Rotterdam - Full street addressMIT License - see LICENSE file for details.