Event-Correlated MCP Agents for Asynchronous Enterprise Systems

Abstract

Modern Model Context Protocol (MCP) agents are primarily designed around synchronous tool invocation models, assuming immediate response availability and short-lived execution cycles. However, enterprise systems operate in highly asynchronous, event-driven environments where operations span multiple services, external platforms, and delayed completion events. This architectural mismatch leads to lost context, duplicated execution, reduced SLA compliance, and fragile coupling between agents and enterprise infrastructure. This paper introduces an Event-Correlated MCP Agent architecture that enables agents to operate natively within asynchronous enterprise ecosystems. The proposed design externalizes intent publication, maintains correlation-aware execution context, and supports resumable reasoning triggered by distributed event streams. The framework incorporates deferred context reconciliation, SLA-aware recovery, and fault-isolated orchestration mechanisms. Discrete-event simulation of 500 workflows across four services with a 20% failure rate demonstrates a 90% reduction in blocking time, 13 percentage points higher SLA compliance, and higher modeled operational throughput under bounded concurrency assumptions compared with traditional synchronous tool-calling agents. The proposed architecture provides a scalable, enterprise-oriented foundation for adapting intelligent agents to asynchronous distributed systems.