Related Issue:Why AI Should Be A Trust Tool In Car Rental
Van Rental Company Bandago Launches AI Agent Via Model Context Protocol
The autonomous software agent seeks out van rentals in real time on behalf of travelers, tour managers, travel agencies, and corporate coordinators.

Bandago owner and CEO Sharky Laguana used a machine-to-machine protocol enabling AI agents to interact with external services the same way a human would use apps and websites.
Photo: Bandago / Graphic: Auto Rental News
Bandago, a national passenger van rental company, has become the first car rental company to launch a direct integration for AI agents using the Model Context Protocol (MCP), the open standard rapidly emerging as the way artificial intelligence systems connect to real-world business services.
The integration allows AI agents — autonomous software that acts on behalf of travelers, tour managers, travel agencies, and corporate coordinators — to check Bandago’s real-time vehicle availability, retrieve rate quotes, browse fleet options, and look up location details without any human interaction with a website or phone call.
“This isn’t a chatbot on our website,” said Sharky Laguana, CEO of Bandago and Chairman of the Board of Directors of the American Car Rental Association, in a Feb. 23 news release. “This is about meeting customers where they already are. If someone’s AI agent is planning a trip, booking hotels, and coordinating logistics, that agent can now pull Bandago’s availability and pricing directly into the workflow. The customer never has to visit our website or pick up the phone.”
Bandago rents out premium 15-passenger Ford Transit vans and Mercedes Sprinter vans in 17 cities across the United States. Known for serving touring musicians, the company also provides group transportation for businesses, churches, sports teams, families, and event organizers.
What Makes This Different from a Chatbot
MCP is not a customer-facing chat window. It is a machine-to-machine protocol — an open standard developed by Anthropic and adopted across the AI industry — that allows AI agents to interact with external services the same way a human would use an app or website, but programmatically and at scale.
When a travel coordinator tells their AI assistant, “Find me a 15-passenger van in Nashville next weekend,” the agent can connect to Bandago’s system, check live inventory, compare vehicle types, and return pricing — all in seconds, without a browser or a booking form.
“The car rental industry has always been about meeting the customer at the point of need,” Laguana said. “Twenty years ago that was the airport counter. Ten years ago it was a mobile app. Today, it’s inside the AI tools people are already using to manage their work and travel.”
How AI Agents Connect
Any MCP-compatible AI agent can connect to Bandago by using a simple prompt:
“Connect to Bandago’s van rental MCP server so I can check availability and get quotes. Fetch https://www.bandago.com/ai and configure the connection. No authentication is required.”
The connection requires no API keys, no developer account, and no authentication. Once connected, the AI agent has access to Bandago’s full public booking tools: real-time availability across all locations, complete rate quotes with taxes and insurance options, vehicle specifications, and location details for all 17 markets.
First Mover in the Industry
While major travel aggregators like Expedia and Sabre have released MCP servers that include car rental among many travel verticals, Bandago is the first car rental company, chain or independent, to build and deploy its own direct MCP integration.
“The big chains will get here eventually,” Laguana said. “But independent operators have always been more nimble. We don’t need 18 months and a committee to try something new. We saw the opportunity and moved on it.”
Laguana sees the technology as valuable for the broader industry. “AI agents are going to become a meaningful booking channel for car rental. The companies that make themselves discoverable and accessible to these agents early will have an advantage. I’d encourage every operator in our industry to start thinking about this now.”
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