BlaBlaCar MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BlaBlaCar through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to BlaBlaCar "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in BlaBlaCar?"
)
print(result.data)
asyncio.run(main())
* 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:
Pydantic AI validates every BlaBlaCar tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- 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 Pydantic 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 Pydantic AI via MCP
Follow these steps to integrate the BlaBlaCar MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from BlaBlaCar with type-safe schemas
Why Use Pydantic AI with the BlaBlaCar MCP Server
Pydantic AI provides unique advantages when paired with BlaBlaCar through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your BlaBlaCar integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your BlaBlaCar connection logic from agent behavior for testable, maintainable code
BlaBlaCar + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the BlaBlaCar MCP Server delivers measurable value.
Type-safe data pipelines: query BlaBlaCar with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple BlaBlaCar tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query BlaBlaCar and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock BlaBlaCar responses and write comprehensive agent tests
BlaBlaCar MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect BlaBlaCar to Pydantic AI via MCP:
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
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
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
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
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
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
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
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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with BlaBlaCar immediately.
"Find carpool rides from Paris to Lyon next Friday for 2 people"
"What's the cheapest day to travel from São Paulo to Rio next week?"
"Show me both carpool and bus options from Madrid to Barcelona this weekend"
Troubleshooting BlaBlaCar MCP Server with Pydantic AI
Common issues when connecting BlaBlaCar to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiBlaBlaCar + Pydantic AI FAQ
Common questions about integrating BlaBlaCar MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect BlaBlaCar with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BlaBlaCar to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.