# Simplified and Secure MCP Gateways for Enterprise AI Integration

arXiv: https://arxiv.org/abs/2504.19997 · HTML: https://mlsanity.com/paper/2504.19997/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 11 references that are in the map.
- First posted on arXiv 28 Apr 2025.

## Builds on (most cited first, 1 of 1)

- [Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategies](https://mlsanity.com/paper/2504.08623/) (2025)

## Built on by (most cited first, 4 of 4)

- [MCP-Guard: A Multi-Stage Defense-in-Depth Framework for Securing Model Context Protocol in Agentic AI](https://mlsanity.com/paper/2508.10991/) (2025)
- [ADR: An Agentic Detection System for Enterprise Agentic AI Security](https://mlsanity.com/paper/2605.17380/) (2026)
- [DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers](https://mlsanity.com/paper/2605.28148/) (2026)
- [Building AI That Works: ESnet's Pragmatic Approach to AI-Driven Operational Excellence](https://mlsanity.com/paper/2607.22948/) (2026)

## Abstract (arXiv)

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.