Overview

The Mcp Dutch Postal Codes server provides a lightweight, protocol‑first interface for querying the official Dutch address database. By exposing postal code and coordinate lookup as a Model Context Protocol (MCP) service, it removes the need for developers to embed complex geocoding logic directly in their applications. Instead, AI assistants such as Claude can invoke the server’s tools to retrieve accurate address details—street names, municipality, and building information—in real time.

What Problem It Solves

In many AI‑powered workflows, context enrichment is critical. When an assistant must verify a user’s location or generate region‑specific content, it requires reliable address data. Traditional approaches involve calling external APIs or maintaining local copies of the Dutch postal database, both of which introduce latency, licensing constraints, and maintenance overhead. This MCP server abstracts those concerns behind a simple RPC interface, letting the AI client request address information with minimal friction while keeping data ownership and privacy in the developer’s control.

Core Functionality & Value

The server accepts two primary query types:

• Postal code lookup: Given a Dutch postal code (e.g., “1012 AB”), it returns the corresponding street, municipality, and building identifiers.
• Coordinate lookup: By providing WGS84 latitude/longitude values, it resolves the nearest address record.

These operations are wrapped in MCP tools that can be invoked by a language model. Because the service runs locally or on a private network, it guarantees low latency and compliance with data‑protection regulations. Developers can integrate the server into existing AI stacks—such as Claude Desktop or Cursor—by simply adding a configuration entry, after which the assistant can call or .

Key Features

• Protocol‑first design: Uses the official MCP Go SDK, ensuring compatibility with any MCP‑compliant host.
• Transport flexibility: Supports stdio (default), HTTP with Server‑Sent Events, and future transport extensions without changing the API surface.
• Zero external dependencies: Operates entirely on data provided by Bert Hubert’s service, avoiding costly third‑party APIs.
• Open source and permissive licensing: Apache‑2.0 license encourages reuse and modification in commercial or academic projects.

Real‑World Use Cases

• Address validation: An AI assistant can confirm a user’s postal code before processing orders or scheduling deliveries.
• Geolocation‑based content: Dynamic generation of local news, weather, or travel guides tailored to the user’s exact location.
• Compliance checks: Regulatory systems that require precise address verification can delegate the lookup to the MCP server, ensuring consistent data formats.
• Data enrichment pipelines: Batch processing of datasets where postal codes need to be expanded into full address records before analysis.

Integration Workflow

1. Add the server to the MCP host configuration (e.g., ).
2. Invoke the tool from the assistant’s prompt, passing either a postal code or coordinates.
3. Receive structured JSON containing address details and use it directly in the conversation, UI rendering, or downstream processing.

Because the MCP interface is stateless and transport‑agnostic, developers can embed this service in microservice architectures, containerized environments, or even run it locally during development. Its lightweight nature and clear contract make it a standout addition to any AI‑driven application that relies on Dutch geospatial data.