mlsanityData to 14 Oct 2026

Simplified and Secure MCP Gateways for Enterprise AI Integration

arXiv 2504.19997 ↗First posted 28 Apr 2025cs.CR cs.AIcited by 4

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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.

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

1 of 11 references.

References · 1

  1. 2025Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategiescited by 42

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 3.

4 papers.

  1. 2025MCP-Guard: A Multi-Stage Defense-in-Depth Framework for Securing Model Context Protocol in Agentic AIcited by 19
  2. 2026ADR: An Agentic Detection System for Enterprise Agentic AI Securitycited by 2
  3. 2026DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP serverscited by 0
  4. 2026Building AI That Works: ESnet's Pragmatic Approach to AI-Driven Operational Excellencecited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025MCP Guardian: A Security-First Layer for Safeguarding MCP-Based AI System
  2. 2026A Gateway Architecture for Enterprise MCP Authentication: Unifying Heterogeneous Auth, Identity Delegation, and the User / Non-User Persona Problem
  3. 2025Securing the Model Context Protocol (MCP): Risks, Controls, and Governance
  4. 2026A Formal Security Framework for MCP-Based AI Agents: Threat Taxonomy, Verification Models, and Defense Mechanisms
  5. 2026Give Them an Inch and They Will Take a Mile:Understanding and Measuring Caller Identity Confusion in MCP-Based AI Systems
  6. 2025Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
  7. 2026From CRUD to Autonomous Agents: Formal Validation and Zero-Trust Security for Semantic Gateways in AI-Native Enterprise Systems
  8. 2025AgentBound: Securing Execution Boundaries of AI Agents