How to Use the GraphHopper MCP in Vercel AI SDK

Stream real-time routing data from GraphHopper directly into your Vercel AI SDK frontends for live, interactive mapping experiences.

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Connect GraphHopper MCP to Vercel AI SDK

Create your Vinkius account to connect GraphHopper 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 GraphHopper with Vercel AI SDK

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Live route rendering in Vercel AI SDK

Feed your UI coordinates directly from `calculate_routing_matrix` to draw paths as the AI calculates them. Your users watch the route materialize on screen without waiting for stale batch updates. This integration hooks into the streaming response cycle. By passing `calculate_distance_isochrone` results into your frontend components, you turn raw JSON into visual polygons that update the moment your agent finishes a thought.

Direct geocoding for conversational UIs

Turn user text into map coordinates using `search_geocode` and `reverse_geocode` inside your Vercel AI SDK handlers. It bypasses the need for middleman APIs that add latency to your chat thread. Your app handles location queries by passing the tool output straight to the browser. The AI remains the interface while the server handles the heavy lifting of location resolution behind the scenes.

Manage logistics via Vercel AI SDK

Trigger `submit_vrp_optimizer` to solve complex fleet problems and stream the job status back to your dashboard. The MCP server handles the optimization, and your app displays the progress in real-time. Once the solver finishes, use `poll_vrp_solution` to retrieve the final stops. Your frontend consumes this data as a stream, allowing you to show progress bars or loading states that match the actual server-side progress.

Setup guide

Set up GraphHopper 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 GraphHopper 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 GraphHopper 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 GraphHopper. 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.

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Real-time monitoring

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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

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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 GraphHopper MCP in Vercel AI SDK

Yes. The MCP server handles the routing logic while your Vercel AI SDK app manages the stream. It keeps your compute footprint low by offloading heavy geographic math to the dedicated engine.

You initialize the client with the provided URL and pass the tools directly into your `streamText` configuration. The AI then decides when to call specific functions like `calculate_heavy_route` based on user input.

The server manages the connection securely on the backend. Your API client only interacts with the MCP protocol, keeping your credentials isolated from the frontend code.

Caching depends on your implementation. You can store tool results in your own database, but the server itself fetches fresh data for every request to ensure route accuracy.

Your delivery coordinates and stop data stay within your session pipeline. We operate on a zero-trust model where data is ephemeral and cleared once the routing job completes.

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