MTS Web Services Speeds Up AI Agent Development
MTS Web Services has significantly accelerated the process of building AI agents after adding support for the MCP protocol.
Up to 80% Faster
Leading Russian telecom operators continue to expand the infrastructure required for artificial intelligence. MTS, in particular, is focusing not only on broadening its portfolio of technology solutions but also on reducing the time it takes to deploy them into production environments.
Earlier this week, MTS Web Services (MWS) announced an expansion of its integration platform, MWS Octapi. The update enables companies to integrate AI agents into their IT environments and cuts the time required to build proprietary MCP servers by up to 80%.
MWS Octapi is listed in Russia’s national registry of domestic software and is rapidly becoming one of the core tools for deploying AI agents across enterprise systems. Built-in support for the MCP protocol has sharply reduced the time needed to launch AI agents within corporate ecosystems. Tasks that previously took several hours to configure can now be completed in just minutes.
Why the MCP Protocol Matters
According to the developers, integrating the MCP protocol into MWS Octapi has accelerated the creation of multi-agent systems by 30%. The approach provides a foundation for building complex, distributed AI architectures while maintaining full control over processes and compliance with security policies. A second standard for AI agent interaction, the A2A (Agent-to-Agent) protocol, is scheduled to be added in the near future.
“The MCP protocol works as a universal connector that allows artificial intelligence to interact both with other AI agents and with traditional, non-AI systems. By adding complementary MCP and A2A standards to the platform, we enable customers to connect AI agents to their existing systems. This allows businesses to significantly speed up product development and release cycles while maintaining data security,” said Pavel Voronin, CEO of MTS Web Services.
The project underscores a broader point: Russian engineering teams now have the skills and resources to develop full-fledged AI solutions without relying on foreign platforms. Faster deployment of AI agents across enterprise infrastructure is expected to boost automation and substantially reduce the workload on human employees.
Interest Beyond the Domestic Market
While the solution is primarily designed for domestic use, it also has export potential. Surveys conducted in December showed that 70% of foreign business representatives expressed interest in integrating Russian AI technologies into their corporate infrastructure.
“We assess opportunities in new markets cautiously. There, we face new competitors – global players and industry leaders – and that competition itself becomes a driver of our development. In addition to global vendors, we compete with startups and local teams. In many ways, we are also a startup in these markets, which means we have to think and act like one – quickly, innovatively, and adaptively,” explained Alexey Lebedev, head of the Banking and Finance department at Reksoft.
Building a Proprietary AI Agent
MWS first announced plans to develop its own AI agent last summer. At the time, the company described a system capable of analyzing large volumes of data and independently performing a wide range of tasks, from financial analysis to travel planning, without human intervention. The goal was to accelerate the launch of new services tailored to different user scenarios.
Unlike large language models that operate within predefined algorithms and limited scenarios, AI agents are designed to understand task context, make decisions based on real-time data, and perform actions directly within interfaces. As a result, their deployment opens the door to deeper automation across business processes.
There is little doubt that the adoption of AI agents across enterprises will accelerate further this year. This trend is expected not only to strengthen Russia’s technological autonomy but also to reinforce its position as a supplier of advanced AI infrastructure solutions.
