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BlaBlaCar MCP Server for Google ADK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add BlaBlaCar as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="blablacar_agent",
    instruction=(
        "You help users interact with BlaBlaCar "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
BlaBlaCar
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<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:

Google ADK natively supports BlaBlaCar as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

  • 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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the BlaBlaCar MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 8 tools from BlaBlaCar via MCP

Why Use Google ADK with the BlaBlaCar MCP Server

Google ADK provides unique advantages when paired with BlaBlaCar through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with BlaBlaCar

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine BlaBlaCar tools with BigQuery, Vertex AI, and Cloud Functions

BlaBlaCar + Google ADK Use Cases

Practical scenarios where Google ADK combined with the BlaBlaCar MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query BlaBlaCar and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine BlaBlaCar tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query BlaBlaCar regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including BlaBlaCar

BlaBlaCar MCP Tools for Google ADK (8)

These 8 tools become available when you connect BlaBlaCar to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting BlaBlaCar to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

BlaBlaCar + Google ADK FAQ

Common questions about integrating BlaBlaCar MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect BlaBlaCar to Google ADK

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