MCP Dev Summit Brings Developers Together to Explore How to Move Agentic AI Into Production

The global forum for technical exchange, the "MCP Dev Summit Seoul 2026," was held in Seoul on the 14th. The event focused on the safe and efficient build and operation of enterprise agentic AI systems.

The event was organized to discuss ways to safely apply agentic AI in enterprise environments all the way to live operations. On the second day, the central topic was the Model Context Protocol (MCP).

On site, speakers shared practical strategies and technical case studies for safely connecting agent architectures in enterprise environments and scaling them into production. The event was held in conjunction with "Open Source Summit Korea 2026."

"Open Source Summit Korea 2026" was held over two days from the 11th to the 12th and was hosted by the Linux Foundation and the Agentic AI Foundation (AAIF). The photo shows the MCP Dev Summit Seoul 2026 scene photographed by reporter Kwon Young-seok.

The photo shows Kim Hyun-soo, a Workato solutions architect. It was taken by reporter Kwon Young-seok.

Kim Hyun-soo, a solutions architect at Workato, reviewed the current state of AI agent adoption in companies and the main obstacles in his presentation. He said that many companies are aiming for productivity innovation and are actively pushing ahead with the adoption of AI agents.

However, Kim pointed to the lack of real-time connectivity with legacy systems and internal databases as key obstacles. He explained that this creates a resulting limitation, making it difficult to expand beyond simple Q&A into actual work execution.

He noted that the characteristics of the existing RAG approach make it centered on static document retrieval (Read). He also said the existing RAG approach has a limitation in that it lacks continuous business process execution (Action) based on real-time CRM and ERP data.

Kim proposed ways to build enterprise MCP as a solution. In summary, he emphasized the need to establish workflow-based MCP and governance.

Large language models (LLM) have inherent limitations such as hallucinations and arbitrary reasoning, and if Thin MCP individual tools are directly connected to an LLM and the execution decision is delegated entirely, the risk of malfunction can increase. In particular, the issue was raised that in core business areas such as finance, payments, and orders, this approach could lead to catastrophic incidents.

In response, Workato proposed building a "Workflow-based MCP." This approach integrates the full business logic for order lookups, return reviews, payment cancellations, pickup requests, and more, and turns the structured workflow itself into an MCP server, with the aim of preventing arbitrary reasoning errors by the LLM.

Workato also proposed a security and governance environment based on a centralized "MCP Control Plane" and registry by using more than 14,000 connectors and API gateways to make it easy to turn legacy systems into MCP servers. In this framework, access control, monitoring, and auditing are managed in an integrated manner.

The architect said the proper condition for AI in business settings is a safe real-time connection to systems and data. He also said reliance on LLM reasoning should be avoided, and that it is necessary to establish both verified workflow-based enterprise MCP and a control framework.

He explained that if these conditions are met, companies can create clear business value without the risk of malfunction.

In a subtitle summary, interoperability and five key pillars are the keys to enterprise-wide expansion. Choi Woo-hyung, an AWS solutions architect, used his presentation to assess the current state of agentic AI expansion in companies and shared the latest protocol trends and key recommendations.

Choi said the technology for building single agents has entered the commercialization stage. He also noted that there is room for broader application in enterprise-wide production environments.

Choi identified the biggest obstacles to broader adoption as an interoperability gap and a lack of reliability. The photo credit is Kwon Young-seok.

The point is that if companies want to use agents as genuine members of the organization, the basic conditions at the governance level must come first. The five prerequisites for this are identity verification, granular access control, accountability and tracking, visibility and observability, and communication. In addition, the latest protocol trends that technically support these governance requirements were also mentioned.

In this implementation and expansion area, MCP plays a role in tool integration, while A2A(Agent-to-Agent) plays a role in collaboration between agents, and the complementary development of MCP and A2A was presented as important. In particular, attention was drawn to the recently updated MCP spec's shift to a "Stateless" spec. This was described as a change that overcomes the limits of resource scaling in the existing Stateful approach, enables easier load balancing and easier resource scaling, and leads to large-scale integration in enterprise environments.

The emergence of "Agent Plugins 1.0" was also presented as a major trend. Its nature was summarized as an open standard for improving compatibility in developer coding assistant environments. It was identified as a key trend accelerating ecosystem expansion.

AWS architect Choi Woo-hyung said the benchmark for adopting AI agents should be an operational control framework rather than simple connectivity. He said AI interconnection based on standard protocols alone cannot complete AI agent adoption, and that a safe governance framework is needed that allows each AI agent to have clear identity and authorization, along with real-time monitoring and control of every action. He added that such governance is the key to successfully expanding AI across the enterprise.

Source: IT DAILY · Kwon Young-seok
Original: https://www.itdaily.kr/news/articleView.html?idxno=241017

References

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