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How to Use the Nominatim MCP in Vercel AI SDK

Fetch coordinates and address details live in your React or Next.js app using the Nominatim MCP Server with Vercel AI SDK.

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Vercel AI SDK

Connect Nominatim MCP to Vercel AI SDK

Create your Vinkius account to connect Nominatim 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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Run direct spatial searches in your UI

The `search` tool finds exact coordinates and bounding boxes from raw address strings directly inside your streaming interface. When a user types an address, your Vercel AI SDK setup hits this endpoint, bypassing slow loading spinners by streaming the location components straight to the client. You get clean JSON containing OSM types and structured address data without paying for expensive geocoding SaaS. Edge-compatible execution means these lookups happen close to your users, keeping latency under 200 milliseconds.

Convert coordinates to addresses on the fly

The `reverse_geocode` tool translates latitude and longitude pairs into readable street-level addresses instantly. Your Vercel AI SDK client calls this tool to resolve user coordinates, adjusting the zoom levels dynamically to get either exact house numbers or broad city regions. This approach feeds raw GIS data directly into your frontend state. Your users watch their location data materialize on screen in real-time as the agent processes the coordinates.

Fetch metadata with Nominatim MCP Server

The `get_details` tool fetches place ranks, importance scores, and linked Wikipedia entries for any specific map object. This MCP Server exposes this deep metadata to your Vercel AI SDK agent, allowing it to evaluate location relevance before rendering the final UI. You can also use `lookup_osm` to grab multiple nodes or relations in a single batch query. It gives your application immediate access to the global OpenStreetMap database without requiring any API keys.

Setup guide

Set up Nominatim 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Nominatim transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nominatim. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Nominatim MCP in Vercel AI SDK

The public endpoint limits you to 1 request per second. You should implement a queue or deploy a self-hosted instance if your Vercel AI SDK agent makes frequent concurrent calls to the search tool.
Yes. This MCP Server works perfectly in edge environments because it relies on standard HTTP transport. You initialize the client, stream the spatial data, and close the connection immediately.
Call the `get_status` tool at the start of your workflow. It returns the current latency and operational status, letting your Vercel AI SDK app handle downtime gracefully before triggering complex geocoding tasks.
Pass a bounding box or country codes directly to the search tool. Your agent will restrict its queries to those boundaries, which improves accuracy and prevents irrelevant global results.
No. This server only sends raw coordinates and address strings directly to the OpenStreetMap Nominatim API or your self-hosted endpoint. No tracking cookies or user identifiers are ever attached to these requests.

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