AgentNexus: Accelerating AI Agent Development and Enhancing Interoperability with MCP

Abstract

The DoD faces significant challenges in its pursuit of AI superiority, as disparate data and development platforms create redundant efforts and limit interoperability. Additionally, existing DoD systems are ill-equipped to handle the recent paradigm shift toward agentic AI, which requires modern standards and tools. To address these gaps, this paper introduces AgentNexus, an application designed to streamline the development, deployment, and servicing of AI agents. AgentNexus provides an application featuring an advanced agents processing backend, a scalable service layer, and an intuitive user interface. It provides pre-built toolkits, sophisticated RAG pipeline, and MCP for enhanced interoperability. The successful development of an Education Assistant agent validates the application’s capacity to support the rapid implementation of multi-agent workflows. By fostering a collaborative and standardized environment, AgentNexus mitigates critical barriers of interoperability and duplicated effort, accelerating the delivery of multi-agent AI to warfighters.