International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF
Volume 73 | Issue 11 | Year 2025 | Article Id. IJCTT-V73I11P102 | DOI : https://doi.org/10.14445/22312803/IJCTT-V73I11P102

A Scalable Architecture for Remote Model Context Protocol Servers in Enterprise Database Environments

Mohankrishna Kothapalli, Dharanidhar Vuppu

Received Revised Accepted Published
16 Sep 2025 24 Oct 2025 11 Nov 2025 28 Nov 2025

Citation :

Mohankrishna Kothapalli, Dharanidhar Vuppu, "A Scalable Architecture for Remote Model Context Protocol Servers in Enterprise Database Environments," International Journal of Computer Trends and Technology (IJCTT), vol. 73, no. 11, pp. 9-16, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I11P102

Abstract

Enterprise deployments of Large Language Models need database connectivity solutions that work under absolute security and performance pressures. This paper describes an architecture we built for Model Context Protocol servers in Kubernetes, refined through actual production use. Three problems dominated our design work: authentication, network security, and scaling capacity. We went with OAuth2 authentication paired with connection pooling. Once deployed, this setup achieved a 96% cache hit rate while reducing latency by 71% relative to our baseline measurements. Horizontal scaling keeps the system responsive during traffic surges. Our production environment ran this architecture continuously for six months, processing roughly 45,000 queries per day. We saw 99.9% uptime throughout, and 95th-percentile latency came in at 180 Ms. The numbers show this architecture can manage what security-focused enterprises need, even in heavily regulated sectors. For engineers and architects working on AI-powered database services, this paper provides concrete lessons particularly relevant when security, reliability, and performance constraints are non-negotiable.

Keywords

Model Context Protocol, Enterprise Architecture, Kubernetes, Database Integration, OAuth2, Scalability, Connection Pooling.

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