eBook
Understanding MCP, the new connective layer for corporate travel management
Dashboards. A separate booking tool. An AI assistant that can't see your policy, your traveler profiles, or your past bookings. Travel tasks live in disparate systems, and don't always talk to each other.
Model Context Protocol (MCP) closes that gap by bringing your travel data into the AI tools your organization already runs on.
This eBook explains what MCP is, and what it changes for booking and reporting. No technical background required.
Published on November 10, 2026.
Key takeaways:
- Reporting becomes a conversation: ask, explore, get a recommendation, draft the memo, all in one thread.
- Booking can start in Teams or Slack, follows your travel policy, and hands off to a consultant with full context when AI reaches its limit.
- Security comes first: role-based access, logged queries, a penetration-tested server, and traveler safety kept outside the AI layer.
- MCP standardizes the connection, not the content: data quality still decides how useful the answers are.
Get the full picture
MCP isn't a new platform to manage. It's the connective layer that brings the travel intelligence you already have into the tools your teams use every day.
Download the eBook to get FCM's full framework for evaluating MCP-enabled travel tools, a walk-through of both use cases in detail, and a view of where the standard is headed through 2027.
Frequently asked questions
-
What is MCP in corporate travel?
MCP is an open standard that connects AI assistants to a company’s own systems. In corporate travel, it brings governed travel data, policy and booking into the AI tools your teams already use.
-
How is MCP different from a dashboard or an online booking tool?
Dashboards and booking tools are separate systems you log into. MCP brings reporting and booking into the AI tool your teams already use, with the same governed data, policy and negotiated rates behind every answer.
-
Which AI tools can I use with FCM’s MCP?
MCP is an open standard, so you choose your AI tool: for example Microsoft 365 Copilot, Claude, ChatGPT or Gemini, used in chat tools like Teams or Slack. FCM builds, hosts, and secures the server layer. Compatibility depends on your AI environment; a demo confirms what’s available.
-
How do I know if my organization is ready for MCP?
You’re likely ready if you have approved enterprise AI tools, an IT process for approving MCP connections, and teams already working in Teams, Slack or an AI assistant. The eBook includes a readiness checklist.