Conference Description
Key Takeaways
- Technical summit dedicated to agentic AI systems and the Model Context Protocol (MCP)
- Covers agent architectures, infrastructure, interoperability, security, and orchestration
- Designed for developers, engineers, architects, and researchers working on AI agent infrastructure
- Addresses production deployment challenges, open standards, and governance for agent-based systems
- Takes place in Tokyo on September 10–11, 2026
Introduction
AGNTCon + MCPCon Japan is a technical summit bringing together developers, researchers, platform builders, and enterprise teams to advance the development and deployment of agentic AI systems. The event places particular emphasis on the Model Context Protocol (MCP) and the broader agent stack, addressing the infrastructure, protocols, and tooling required to build interoperable, reliable, and secure AI agents. As organisations increasingly explore autonomous AI systems capable of executing complex tasks, the need for standardised approaches to agent architecture and communication has become a pressing concern across the software industry.
About This Event
The summit takes place at Belle Salle Shibuya Garden in Tokyo on September 10–11, 2026. The programme features keynote presentations, deep technical sessions, real-world case studies, and collaborative forums designed to share learnings and surface common challenges. Certification opportunities are also available for attendees seeking formal recognition of their expertise in agentic AI technologies.
Notable sponsors and vendors participating in the event include Workato, Hitachi, Raytone, Akamai, Auth0, JetBrains, Neo4j, Snyk, StepFun, Nowcast, and Obot.ai. Technologies referenced throughout the programme include the Model Context Protocol, Istio, Keycloak, and various cloud AI platforms.
Agent Architectures and Infrastructure
A central focus of AGNTCon + MCPCon Japan is the technical foundation required to build production-grade agentic AI systems. Sessions examine core agent architectures, exploring how autonomous components can be designed to reason, plan, and execute tasks with minimal human intervention. The infrastructure layer receives substantial attention, covering the orchestration mechanisms, observability tools, and developer tooling necessary to manage agent behaviour at scale.
The Model Context Protocol serves as a key topic throughout the event. MCP provides a standardised approach for AI agents to interact with external tools, data sources, and services, addressing one of the fundamental challenges in building interoperable agent systems. By establishing common protocols for context sharing and tool invocation, MCP aims to reduce the fragmentation that currently characterises the agent development landscape.
Security, Governance, and Open Standards
As agentic AI systems gain autonomy and access to sensitive resources, security considerations become increasingly critical. The summit addresses authentication, authorisation, and secure communication patterns for agent-based architectures. Sessions explore how existing security frameworks and identity management solutions can be adapted for environments where AI agents act on behalf of users or systems.
Governance and open source standards form another significant thread. The event promotes open approaches to agentic AI development, recognising that ecosystem-wide collaboration is essential for establishing the protocols and practices that will shape how agents operate across organisational boundaries. Discussions cover the role of open source communities, foundation leadership, and cross-industry cooperation in advancing interoperability standards.
Who Should Attend
AGNTCon + MCPCon Japan is designed for technical practitioners working at the intersection of AI and software infrastructure. The audience includes open source developers, project maintainers, foundation leaders, enterprise engineers, architects, and platform teams responsible for building and operating AI systems. Researchers from both industry and academia will find value in the technical depth and collaborative forums. Decision-makers evaluating agentic AI adoption for their organisations can gain insight into production deployment challenges and emerging best practices.
Industry Context
The emergence of agentic AI represents a significant shift from traditional AI applications that respond to individual prompts toward systems capable of sustained autonomous operation. This transition introduces new requirements for reliability, scalability, and security that existing AI infrastructure was not designed to address. Events like AGNTCon + MCPCon Japan reflect the industry’s recognition that building effective agent systems requires coordinated effort across the technology stack, from low-level protocols to high-level orchestration frameworks. The emphasis on open standards and community collaboration signals a maturing ecosystem seeking to avoid the fragmentation that has hindered interoperability in previous technology waves.