Simplified and Secure MCP Gateways for Enterprise AI Integration
Fuente:
arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916710572883968 |
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| author | Brett, Ivo |
| author_facet | Brett, Ivo |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_19997 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Simplified and Secure MCP Gateways for Enterprise AI Integration Brett, Ivo Cryptography and Security Artificial Intelligence 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. |
| title | Simplified and Secure MCP Gateways for Enterprise AI Integration |
| topic | Cryptography and Security Artificial Intelligence |
| url | https://arxiv.org/abs/2504.19997 |