How to Use the BlaBlaCar MCP in Vercel AI SDK

Q: How do I show BlaBlaCar results in my Vercel AI SDK app?

Use the streamText function from the library. Pass the tools from this server directly into your generation call to display data as it arrives.

Q: Does BlaBlaCar support coordinate searches in Vercel AI SDK?

Absolutely. Just feed your map coordinates into the searchtrips tool. The output maps directly to your frontend state.

Stream BlaBlaCar trip results directly into your Vercel AI SDK frontend for a live, flicker-free user experience.

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Connect BlaBlaCar MCP to Vercel AI SDK

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

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Real-time BlaBlaCar data in Vercel AI SDK

Feed live search results into your React or Next.js components without waiting for backend bottlenecks. When your agent invokes `search_trips_by_city`, the data flows through your stream and hits the UI the second it arrives. This keeps your users engaged while they browse current availability. You don't need clunky loading states because the `ai-sdk` handles the connection to this MCP Server natively.

Verify driver history before booking

Don't let your users book blind. Use `get_driver_profile` to pull ratings and passenger feedback into your interface before a transaction occurs. Your app displays these details alongside the trip information. It gives users the confidence to hit book because they can see exactly who is driving.

Flexible trip planning for your users

Handle complex travel requests by calling `search_flexible_dates` or `search_trips_with_radius`. Your UI can now offer broader options than a simple point-to-point search. Pass these parameters from your frontend inputs to the server. The results update your dashboard dynamically, letting users pick the ride that fits their schedule best.

Setup guide

Set up BlaBlaCar 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 BlaBlaCar 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 BlaBlaCar transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BlaBlaCar. 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 BlaBlaCar MCP in Vercel AI SDK

Use the `streamText` function from the library. Pass the tools from this server directly into your generation call to display data as it arrives.

Yes, the transport layer works perfectly with edge runtimes. Keep your compute close to the user while fetching remote transit data.

Absolutely. Just feed your map coordinates into the `search_trips` tool. The output maps directly to your frontend state.

The connection lasts for the duration of the request. Always call the close method to clean up your session once you have the data.

We use a unique endpoint token for every session. Your user's trip history and personal profile data never touch our logs.

Use it with your favorite AI tools

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

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