BlaBlaCar MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BlaBlaCar as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to BlaBlaCar. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in BlaBlaCar?"
)
print(response)
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:
LlamaIndex agents combine BlaBlaCar tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
- 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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the BlaBlaCar MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the BlaBlaCar MCP Server
LlamaIndex provides unique advantages when paired with BlaBlaCar through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BlaBlaCar tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BlaBlaCar tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BlaBlaCar, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BlaBlaCar tools were called, what data was returned, and how it influenced the final answer
BlaBlaCar + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BlaBlaCar MCP Server delivers measurable value.
Hybrid search: combine BlaBlaCar real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BlaBlaCar to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying BlaBlaCar for fresh data
Analytical workflows: chain BlaBlaCar queries with LlamaIndex's data connectors to build multi-source analytical reports
BlaBlaCar MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect BlaBlaCar to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting BlaBlaCar to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBlaBlaCar + LlamaIndex FAQ
Common questions about integrating BlaBlaCar MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect BlaBlaCar with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect BlaBlaCar to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.