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BlaBlaCar MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect BlaBlaCar through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using BlaBlaCar, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
BlaBlaCar
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About BlaBlaCar MCP Server

What you can do

Connect AI agents to the world's largest carpooling network for affordable, sustainable travel:

The Vercel AI SDK gives every BlaBlaCar tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

  • Search carpool rides between any cities or GPS coordinates worldwide
  • Compare prices and schedules across multiple drivers and departure times
  • Review driver profiles with ratings, verification status, and vehicle details
  • Find bus trips on BlaBlaCar Bus routes for longer distances
  • Search with flexible dates to find cheapest travel days
  • International rides across borders with country-specific filtering
  • Radius-based searches for flexible pickup location options

The BlaBlaCar MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BlaBlaCar to Vercel AI SDK via MCP

Follow these steps to integrate the BlaBlaCar MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 8 tools from BlaBlaCar and passes them to the LLM

Why Use Vercel AI SDK with the BlaBlaCar MCP Server

Vercel AI SDK provides unique advantages when paired with BlaBlaCar through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same BlaBlaCar integration everywhere

03

Built-in streaming UI primitives let you display BlaBlaCar tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

BlaBlaCar + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the BlaBlaCar MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query BlaBlaCar in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate BlaBlaCar tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed BlaBlaCar capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with BlaBlaCar through natural language queries

BlaBlaCar MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect BlaBlaCar to Vercel AI SDK via MCP:

01

get_driver_profile

Use this to verify driver credibility and read passenger reviews before booking a ride. Requires the driver user ID from a trip result. Get driver profile and ratings on BlaBlaCar

02

get_trip_details

Use this before booking to verify driver credibility, vehicle comfort, and exact pickup location. Get complete details of a specific BlaBlaCar trip including driver and vehicle info

03

search_bus_trips

BlaBlaCar operates both carpooling and bus services. Bus trips are operated by professional drivers on fixed routes. Returns bus departure/arrival times, prices, and availability. Use this for longer distance or when carpool options are limited. Search BlaBlaCar Bus trips between two locations

04

search_flexible_dates

Much larger result set than exact-date search. Useful when travel dates are not fixed and user wants to compare prices/availability across multiple days. Returns up to 50 results spanning several days. Search carpool trips with flexible dates around a target date

05

search_international_trips

Requires origin/destination coordinates plus country codes (e.g., FR, DE, ES, IT, PT). Returns all available international rides with driver details and pricing. Use this for trips crossing national borders. Search international carpool trips between two countries on BlaBlaCar

06

search_trips

Requires latitude,longitude format for both points. Returns trip details including departure/arrival cities, times, price, driver info, and available seats. Use this for precise location-based searches when you know exact coordinates. Search carpool trips between two GPS coordinates on BlaBlaCar

07

search_trips_by_city

More user-friendly than coordinate-based search. Returns all matching trips with departure/arrival points, times, prices, driver ratings, and available seats. Best for general city-to-city searches without needing exact coordinates. Search carpool trips between two city names on BlaBlaCar

08

search_trips_with_radius

Useful when exact pickup/dropoff locations are flexible. Larger radius returns more options but may require additional travel to reach departure points. Returns all rides within the specified radius. Search carpool trips with flexible radius around coordinates

Example Prompts for BlaBlaCar in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with BlaBlaCar immediately.

01

"Find carpool rides from Paris to Lyon next Friday for 2 people"

02

"What's the cheapest day to travel from São Paulo to Rio next week?"

03

"Show me both carpool and bus options from Madrid to Barcelona this weekend"

Troubleshooting BlaBlaCar MCP Server with Vercel AI SDK

Common issues when connecting BlaBlaCar to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

BlaBlaCar + Vercel AI SDK FAQ

Common questions about integrating BlaBlaCar MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect BlaBlaCar to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.