How to Use the LocationIQ MCP in Vercel AI SDK

Stream real-time map data and geocoding results directly into your Vercel AI SDK interface without waiting for loading spinners.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect LocationIQ MCP to Vercel AI SDK

Create your Vinkius account to connect LocationIQ 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.

GDPR Free for Subscribers

Setup LocationIQ with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live geocoding and search for AI-SDK

Pipe raw location data into your frontend by calling `search` or `autocomplete` through your AI agent. You get precise coordinate matches sent instantly to your UI components. Your users see the address resolution happen as the text streams. It removes the lag between user input and map visualization.

Real-time route visualization

Generate turn-by-turn paths using `directions` and push them straight to your map overlay. The AI-SDK handles the data flow while the server calculates the geometry. This keeps your application state synchronized with the map. You don't need extra backend routing logic since the tools handle the heavy lifting.

Dynamic map rendering

Fetch static map images with `static_map` based on current agent context. The server returns the image URL for immediate display in your chat window. Combine this with `timezone` or `nearby` to give your users context-aware information. It turns static responses into interactive visual experiences.

Setup guide

Set up LocationIQ 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 LocationIQ 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 LocationIQ transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LocationIQ. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect LocationIQ now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LocationIQ MCP in Vercel AI SDK

Yes. The connection remains lightweight and edge-ready. You just handle the endpoint token and let the MCP server manage the requests.

The server only processes the specific address or coordinate strings you pass to the tools. No personal identifier data is stored by the server after the request finishes.

It provides the tool outputs directly for your stream. The data is ready as soon as the API returns, keeping your UI responsive.

They are standard image URLs. You can render them directly in your frontend components without extra processing.

The MCP protocol surfaces the error immediately. You catch it in your agent loop and handle the fallback logic in your code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python