Simplified and Secure MCP Gateways for Enterprise AI Integration
It addresses security for enterprise AI integration, offering a practical solution for self-hosted MCP servers, though it appears incremental by building on existing MCP frameworks.
This paper tackles the security challenges of enterprise AI integration using the Model Context Protocol by introducing the MCP Gateway, which provides secure self-hosting with authentication, intrusion detection, and secure tunneling without exposing infrastructure.
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.