How to Use the Mapulus MCP in Vercel AI SDK

Q: How do I search for Australian postcodes using Mapulus in the Vercel AI SDK?

You invoke the getpostcodedata tool within your streamText call. Pass the 4-digit code as an argument and the tool returns the relevant spatial metadata directly to your handler.

Q: Does Mapulus provide H3 index data for Vercel AI SDK apps?

Yes, you use the geth3index tool to convert locations into H3 grids. This is useful for building heatmaps or spatial aggregation layers in your web app.

Q: How is my user data handled when using Mapulus with the Vercel AI SDK?

All requests for enrichlocation or other spatial datasets are ephemeral. We don't store your query history or personal location data on our servers.

Stream Australian spatial data directly into your Vercel AI SDK frontends with Mapulus.

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Connect Mapulus MCP to Vercel AI SDK

Create your Vinkius account to connect Mapulus to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mapulus with Vercel AI SDK

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Live spatial data for Vercel AI SDK

Feed demographic and boundary data straight into your UI components. Your users watch the map update as the agent processes requests, avoiding those dead-air loading spinners. Use `get_demographics` or `get_isochrone` to push live insights into your React or Next.js state. The SDK handles the streaming connection so your front-end stays reactive.

Real-time location context

Get precise context for any coordinate by calling `enrich_location`. It pulls data instantly, letting your app react to user input without round-trips to a database. Your interface stays responsive because the tool results pipe directly into your stream. It's built for low-latency edge functions.

Targeted suburb search

Drop the `search_suburbs` tool into your search bars to help users find specific Australian localities. It returns clean arrays that map perfectly to your autocomplete UI. Combine this with `get_postcode_data` to build a complete address lookup flow. Everything is typed, so your TypeScript code catches errors before you even deploy.

Setup guide

Set up Mapulus MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Mapulus tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Mapulus transactions",
});

console.log(text);
await mcpClient.close();

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Common questions about Mapulus MCP in Vercel AI SDK

You invoke the `get_postcode_data` tool within your `streamText` call. Pass the 4-digit code as an argument and the tool returns the relevant spatial metadata directly to your handler.

Yes, because the tools are designed for low-latency retrieval. The SDK's streaming transport keeps the connection open, allowing for rapid-fire data delivery.

Yes, you use the `get_h3_index` tool to convert locations into H3 grids. This is useful for building heatmaps or spatial aggregation layers in your web app.

The MCP protocol provides error feedback that you can catch in your `onToolCall` handler. You can then trigger a fallback UI or prompt the user for a correction.

All requests for `enrich_location` or other spatial datasets are ephemeral. We don't store your query history or personal location data on our servers.

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