How to Use the Google Maps Platform MCP in Vercel AI SDK

Stream Google Maps Platform data directly into your Vercel AI SDK frontends for real-time, location-aware user interfaces.

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Connect Google Maps Platform MCP to Vercel AI SDK

Create your Vinkius account to connect Google Maps Platform 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 Google Maps Platform with Vercel AI SDK

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Live Geocoding for Vercel AI SDK

Pipe raw address strings into `geocode_address` to turn user input into precise GPS coordinates instantly. Your React or Next.js components get the data as the AI processes it. Stop waiting for background tasks to finish. The SDK streams the coordinates straight to your UI, making your maps feel responsive and immediate.

Instant Route Visualization

Feed starting points and destinations into `get_directions` to calculate paths that render on your frontend map instantly. It handles driving, walking, and transit modes natively. Your app handles the logic while the AI client manages the routing parameters. Users see their path plotted the moment they finish typing their request.

Dynamic Place Search

Use `search_nearby_places` to pull business data into your application based on live user queries. Your agents can filter results by specific categories like restaurants or gas stations. This MCP Server provides the raw data your frontend needs to build interactive lists. Combine this with `get_place_details` to show ratings and addresses without leaving your app.

Setup guide

Set up Google Maps Platform 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 Google Maps Platform 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 Google Maps Platform 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 Google Maps Platform. 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

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

Built-in savings

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place for every integration

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

Common questions about Google Maps Platform MCP in Vercel AI SDK

You connect the MCP server via the Vercel AI SDK transport layer. Once linked, you pass the tool definitions directly into your generateText calls to enable location logic.

Yes, the SDK parses the JSON returned by these tools automatically. You define the tools in your agent configuration, and the SDK maps the output to your frontend state.

The server catches API errors and returns them as standard MCP exceptions. Your frontend code should handle these using standard try-catch blocks to keep the UI stable.

The server only processes the specific address or coordinate strings you send to the API. It does not store your user data or maintain persistent logs.

You must provide a valid API key via environment variables. The server uses this key to authenticate your calls to the Google infrastructure.

Use it with your favorite AI tools

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

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