Simplified and Secure MCP Gateways for Enterprise AI Integration

2025/04/28 by Brett, Ivo · 2 citations
#Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences

paper · doi:10.48550/arxiv.2504.19997

Abstract

The increased adoption of the Model Context Protocol (MCP) for AI Agents necessitates robust security for Enterprise integrations. This paper introduces the MCP Gateway to simplify self-hosted MCP server integration. The proposed architecture integrates security principles, authentication, intrusion detection, and secure tunneling, enabling secure self-hosting without exposing infrastructure. Key contributions include a reference architecture, threat model mapping, simplified integration strategies, and open-source implementation recommendations. This work focuses on the unique challenges of enterprise-centric, self-hosted AI integrations, unlike existing public MCP server solutions.

Cited by

• Building AI That Works: ESnet's Pragmatic Approach to AI-Driven Operational Excellence
• MCP-Guard: A Defense Framework for Model Context Protocol Integrity in Large Language Model Applications

Related

• MCP Guardian: A Security-First Layer for Safeguarding MCP-Based AI System
• Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategies
• Securing the Model Context Protocol (MCP): Risks, Controls, and Governance
• Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
• Securing AI Agent Execution