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How to Use the Radar MCP in Vercel AI SDK

Stream Radar location data directly into your React components in real-time with the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Radar MCP on Cursor AI Code Editor MCP Client Radar MCP on Claude Desktop App MCP Integration Radar MCP on OpenAI Agents SDK MCP Compatible Radar MCP on Visual Studio Code MCP Extension Client Radar MCP on GitHub Copilot AI Agent MCP Integration Radar MCP on Google Gemini AI MCP Integration Radar MCP on Lovable AI Development MCP Client Radar MCP on Mistral AI Agents MCP Compatible Radar MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Radar MCP to Vercel AI SDK

Create your Vinkius account to connect Radar to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Stream Live Address Autocomplete with Vercel AI SDK

Stop making users wait for location lookups to resolve behind a loading spinner. When you pair the Vercel AI SDK with this MCP Server, your Next.js frontend streams suggestions live using `autocomplete` as the user types. This means your agent can render interactive maps or address dropdowns instantly on the edge. The SDK handles the raw JSON payload from `validate_address` and feeds it straight to your UI components. Your users get immediate feedback on address corrections without a single page refresh or heavy backend roundtrip.

Real-Time Routing Matrices on the Edge

Map out complex driver routes directly inside your edge functions using `calculate_routing_matrix`. This integration lets your AI client calculate travel distances for multiple coordinates and stream the raw transit times straight to a React dashboard. By using the Vercel AI SDK's streaming capabilities, you can render live route updates with `calculate_route_distance` as the calculations happen. No more blocking the main thread while waiting for heavy geographical matrix operations to finish.

Instant IP and Geofence Context

Pull instant spatial context during live chat sessions using `ip_geocode` to detect where your user is connecting from. The Vercel AI SDK feeds this geographical context directly to your LLM, allowing it to trigger location-specific behaviors on the fly. You can then use `search_geofences` to check if the user is inside a specific delivery zone. The results stream back to the client immediately, letting your application update its UI state without lag.

Setup guide

Set up Radar 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 Radar 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 Radar 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 Radar. 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.

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 Radar MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and call `mcpClient.tools()` to grab the `autocomplete` tool. Pass it directly to `streamText` in your Next.js route handler to stream live suggestions to your frontend.
Yes, the MCP Server runs in a lightweight sandbox that is fully compatible with Vercel edge runtimes. This allows you to call `calculate_routing_matrix` without hitting cold start delays or execution limits.
Yes, you can pass an OAuth token through the `authProvider` in your MCP client setup. This ensures that tools like `get_location_context` only fetch data authorized for that specific user session.
Use `forward_geocode` or `reverse_geocode` within your tool definitions. The SDK maps these coordinate arrays directly into your React component props so you can render Leaflet or Mapbox maps instantly.
Vinkius runs this MCP Server in an isolated V8 sandbox, meaning your raw latitude, longitude, and IP values are never stored. The data passes through an encrypted transit layer directly to the API and is destroyed immediately after the tool execution ends.

Start using the Radar MCP today

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