How to Use the BlaBlaCar MCP in AutoGen

Q: How do AutoGen agents collaborate on a BlaBlaCar search?

One agent uses searchtrips to gather raw travel options, while another agent takes those trip IDs and calls gettripdetails to check the vehicle. They discuss the results in a group chat to select the best option.

Q: Can AutoGen handle flexible dates on BlaBlaCar automatically?

Yes, your coordinator agent can trigger searchflexibledates to pull a broad set of rides. The agents then divide and conquer, analyzing different days to present you with a curated list of the top three options.

Let your AutoGen agents debate pricing, comfort, and driver ratings to book the perfect BlaBlaCar ride.

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Connect BlaBlaCar MCP to AutoGen

Create your Vinkius account to connect BlaBlaCar to AutoGen 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 AutoGen

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Multi-agent debate on BlaBlaCar ride quality

Let your agents fight over the best ride. One AutoGen agent can run `search_trips_by_city` to find cheap options, while a safety-focused agent calls `get_driver_profile` to scrutinize the reviews. They debate the tradeoffs in real-time to find the safest, most budget-friendly option. This collaborative approach ensures you don't book a sketchy ride just because it's cheap. The agents analyze driver history and vehicle comfort before presenting you with a single, agreed-upon travel plan.

Coordinate-based routing via MCP Server tools

Finding the perfect pickup location requires precision. Your AutoGen routing agent uses `search_trips_with_radius` to find rides near your coordinates, while a budget agent analyzes the pricing of those options to find the best deal. If the pickup is too far, the agents negotiate. They can trigger `search_trips` with tighter coordinates or fall back to `search_bus_trips` if a professional bus route offers a more convenient station dropoff.

Autonomous international trip negotiation

Planning cross-border travel involves multiple variables. Your AutoGen agents can run `search_international_trips` through the MCP Server to find carpools crossing borders, automatically verifying country codes and passenger requirements. A dedicated comfort agent uses `get_trip_details` to verify vehicle specs and pickup details, debating with the budget agent to decide if a slightly more expensive international ride is worth the extra legroom.

Setup guide

Set up BlaBlaCar MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes BlaBlaCar tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="BlaBlaCar_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent BlaBlaCar data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="BlaBlaCar_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent BlaBlaCar data")
    print(result.messages[-1].content)

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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 AutoGen

One agent uses `search_trips` to gather raw travel options, while another agent takes those trip IDs and calls `get_trip_details` to check the vehicle. They discuss the results in a group chat to select the best option.

Yes, your coordinator agent can trigger `search_flexible_dates` to pull a broad set of rides. The agents then divide and conquer, analyzing different days to present you with a curated list of the top three options.

The safety agent in your AutoGen team is programmed to call `get_driver_profile` whenever a promising ride is found. It checks the rating score and reviews, vetoing any trips where the driver doesn't meet your safety threshold.

This MCP Server registers clean, schema-compliant tools directly with your agents. You don't have to write custom JSON parsers for tools like `search_bus_trips`; the agents understand the input and output schemas out of the box.

All data passing through the tools, including coordinates and driver profiles, is processed in a secure V8 isolate. Vinkius never saves your travel routes or search parameters, keeping your planning sessions entirely private.

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