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How to Use the IPGeolocation (IP Intelligence & Time) MCP in Vercel AI SDK

Get real-time IP data and local time streaming directly into your Next.js UI using the Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect IPGeolocation (IP Intelligence & Time) MCP to Vercel AI SDK

Create your Vinkius account to connect IPGeolocation (IP Intelligence & Time) 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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Stream instant IP location data in Vercel AI SDK

The `get_location` tool resolves incoming user IP addresses to precise coordinates and ISP data instantly. Your AI client calls this MCP Server tool during a streaming session, letting you render customized local content before the connection closes. This setup avoids the typical loading spinner delay on your frontend. Because it runs on Edge Functions, the IP check executes close to the user, shaving off 100ms of latency compared to traditional backend lookups.

Resolve local timezones on the fly

The `get_timezone` tool provides the exact local time and UTC offset for any resolved IP address. Your frontend agent reads this offset to schedule local events or adjust delivery windows directly in the UI. You don't have to write complex timezone translation libraries or maintain massive database tables. The MCP client handles the translation, feeding structured time data straight into your React components.

Display local sun and moon phases in real time

The `get_astronomy` tool extracts sunrise, sunset, and current moon phases based on the user's IP. Your streaming interface updates dynamically to reflect whether it is day or night at the user's physical location. This direct data injection allows you to toggle dark modes or display local weather-related UI elements dynamically. The Vercel AI SDK processes this astronomy payload on the fly, keeping your client code lightweight. Connecting through this MCP Server setup simplifies your architecture.

Setup guide

Set up IPGeolocation (IP Intelligence & Time) 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 IPGeolocation (IP Intelligence & Time) 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 IPGeolocation (IP Intelligence & Time) 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 IPGeolocation. 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 IPGeolocation (IP Intelligence & Time) MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and create an HTTP client pointing to your Vinkius endpoint. Pass the tools from `mcpClient.tools()` into your `streamText` function to let your agent call them.
Yes, the server runs on Vinkius's low-latency infrastructure, making it compatible with Edge runtimes. Your Next.js edge routes can fetch geolocation data without hitting cold starts.
Yes, the tool results from the server stream directly into your UI components via the SDK. This eliminates the need for separate client-side API requests after the LLM completes its run.
Vinkius handles the underlying API keys for you. You only need to pass your single Vinkius endpoint token when configuring the MCP client in your TypeScript code.
The IPGeolocation server processes IP addresses in an ephemeral V8 sandbox. No personal identifiers or location coordinates are stored on disk, ensuring GDPR compliance for all lookups.

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