Model Context Protocol (MCP) is becoming the standard way AI models interact with tools and applications. However, moving from demos to production requires secure, scalable, and reliable architectures.

This session explores how to build intelligent fintech payment agents using MCP, Java, and M-PESA-inspired integrations. Attendees will learn how AI agents can securely interact with mobile money and enterprise APIs while meeting enterprise requirements for security, auditability, and resilience.

Topics include:

MCP architecture and tool orchestration
Designing MCP servers for fintech use cases
Integrating AI agents with M-PESA and REST APIs
Authentication, authorization, and trust models
Production patterns: retries, rate limiting, observability, and fault tolerance
Best practices for enterprise deployment

By the end of the session, attendees will have practical patterns for building secure, scalable, and production-ready fintech agents with MCP