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

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect BlaBlaCar through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

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

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "BlaBlaCar Agent",
    instructions:
      "You help users interact with BlaBlaCar " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with BlaBlaCar?"
  );
  console.log(result.text);
}

main();
BlaBlaCar
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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:

Mastra's agent abstraction provides a clean separation between LLM logic and BlaBlaCar tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

  • 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 Mastra AI 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 Mastra AI via MCP

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

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 8 tools from BlaBlaCar via MCP

Why Use Mastra AI with the BlaBlaCar MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add BlaBlaCar without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every BlaBlaCar tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

BlaBlaCar + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query BlaBlaCar, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed BlaBlaCar as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query BlaBlaCar on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using BlaBlaCar tools alongside other MCP servers

BlaBlaCar MCP Tools for Mastra AI (8)

These 8 tools become available when you connect BlaBlaCar to Mastra AI 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 Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

BlaBlaCar + Mastra AI FAQ

Common questions about integrating BlaBlaCar MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect BlaBlaCar to Mastra AI

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