How to Use the BlaBlaCar MCP in Google ADK

Q: Can I limit which BlaBlaCar tools my Google ADK agent uses?

Use the toolnames filter during your McpToolset initialization. This lets you restrict the agent to only the specific search functions you want to expose.

Connect your Google ADK agent to BlaBlaCar for real-time travel planning.

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Connect BlaBlaCar MCP to Google ADK

Create your Vinkius account to connect BlaBlaCar to Google ADK 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 Google ADK

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Search trips using Google ADK

Your agent uses `search_trips` to find rides based on specific GPS coordinates. It maps the returned data into your existing Google Cloud workflows without extra overhead. You can also use `search_trips_with_radius` to find options near a specific point. This gives you more flexibility when the exact departure location is not set in stone.

Get trip details for your agent

Call `get_trip_details` to pull vehicle info and pickup coordinates directly into your agent's reasoning loop. This prevents guessing and ensures your agent knows exactly where the ride starts. The tool provides structured data that fits right into your existing BigQuery pipelines. You can log these details for later analysis or reporting.

Compare flexible schedules

Use `search_flexible_dates` to let your agent scan a wider window of time for better prices. It returns up to 50 options, which helps when your travel plans are loose. This is ideal for long-context models that need to reason across multiple days. Your agent compares the results to find the most cost-effective commute.

Setup guide

Set up BlaBlaCar MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with BlaBlaCar tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="BlaBlaCar_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BlaBlaCar tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

Yes, you can register the server using the McpToolset class. It integrates with your existing agent setup by treating the tools as native functions.

Use the tool_names filter during your McpToolset initialization. This lets you restrict the agent to only the specific search functions you want to expose.

The tools return raw data directly to your agent's context window. Your agent then processes the trip info and pricing using its standard logic.

It supports both transport methods. Most users choose HTTP for easier connection to remote Vinkius endpoints from their Google Cloud environment.

All data flows directly from the provider to your agent via a secure tunnel. We do not persist your search queries or the driver feedback logs in any local database.

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