Using MCPs (Model Context Protocol) to eliminate 50% of tickets in Information Technology Services

Authors

  • Raman Krishnaswami

Keywords:

MCP, AI, Information Technology, Ticket

Abstract

The current paper investigates the implementation of Model Context Protocols (MCPs) in mitigating support tickets in Information Technology (IT) services. With the help of MCPs, context is better understood, and repetitive work processes are automated, requiring less time for resolution. The number of support team tickets is also found to be reduced by 50 percent after the application of MCPs, according to recent data recorded in various service centers. It was further observed that the accuracy and speed of response increase. MCPs prove useful in enabling service teams to perform more efficiently and hasten service delivery to customers. The study explains how MCPs combine automation and intelligence to facilitate improved service delivery and cost reduction in IT support departments.

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References

Hou, X., Zhao, Y., Wang, S., & Wang, H. (2025, March 30). Model Context Protocol (MCP): landscape, security threats, and future research directions. arXiv.org. https://arxiv.org/abs/2503.23278

Brett, I. (2025, April 28). Simplified and secure MCP Gateways for enterprise AI integration. arXiv.org. https://arxiv.org/abs/2504.19997

Ehtesham, A., Singh, A., Gupta, G. K., & Kumar, S. (2025, May 4). A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP). arXiv.org. https://arxiv.org/abs/2505.02279

Li, Q., & Xie, Y. (2025, May 6). From Glue-Code to Protocols: A Critical analysis of A2A and MCP integration for scalable agent systems. arXiv.org. https://arxiv.org/abs/2505.03864

Cristian, M., Christian, S., & Dumitru-Tudor, T. (2019). A Study in the Automation of Service Ticket Recognition using Natural Language Processing. 2022 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 9, 1–6. https://doi.org/10.23919/softcom.2019.8903676

Zangari, A., Marcuzzo, M., Schiavinato, M., Gasparetto, A., & Albarelli, A. (2023). Ticket automation: An insight into current research with applications to multi-level classification scenarios. Expert Systems with Applications, 225, 119984. https://doi.org/10.1016/j.eswa.2023.119984

Koka, N. (2024). Enhancing a Ticketing System with AI Intelligence. IJERT. https://doi.org/10.17577/IJERTV13IS070012

Vitla, N. S. (2024). The Future of Identity and Access Management: Leveraging AI for enhanced security and efficiency. Journal of Computer Science and Technology Studies, 6(3), 136–154. https://doi.org/10.32996/jcsts.2024.6.3.12

Tatineni, S. (2023). AIOps in Cloud-native DevOps: IT Operations Management with Artificial Intelligence. Journal of Artificial Intelligence & Cloud Computing, 1–7. https://doi.org/10.47363/jaicc/2023(2)154

Mwikali, H. K. (2024). The Role of AI and Automation in Enhancing Customer Support: Opportunities and Challenges. The Role of AI and Automation in Enhancing Customer Support: Opportunities and Challenges, 10(1), 30–32. https://doi.org/10.59298/jciss/2024/101.19273032

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Published

30.06.2025

How to Cite

Raman Krishnaswami. (2025). Using MCPs (Model Context Protocol) to eliminate 50% of tickets in Information Technology Services. International Journal of Intelligent Systems and Applications in Engineering, 13(1s), 407–415. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7916

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Section

Research Article