Conference Description
Key Takeaways
- Technical conference focused on the Model Context Protocol (MCP) for building interoperable agentic AI systems
- Addresses security, identity management, authorization and auditability requirements for regulated environments
- Designed for platform engineers, SREs, DevOps professionals and AI/ML practitioners deploying agents at scale
- Features technical talks, case studies and a Model Context Protocol Associate certification opportunity
- Leverages Toronto’s financial technology and AI research communities for enterprise deployment perspectives
About the Event
MCP Dev Summit Toronto brings together engineers, maintainers and platform teams working across the agent stack to examine how agentic AI systems are designed, connected and scaled. The in-person conference features keynotes, breakout sessions, technical talks, case studies and a solutions showcase. Attendees can pursue the Model Context Protocol Associate certification during the event.
Model Context Protocol and Agent Architecture
The summit centres on the Model Context Protocol as a foundation for interoperable agent architectures. Sessions cover MCP protocol development alongside broader agent architecture concerns including orchestration, multi-agent systems and enterprise integration patterns. The technical programme examines gateways, registries and operational patterns for deploying agentic systems at scale.
Security and Compliance in Regulated Environments
A significant portion of the programme addresses the security requirements of deploying AI agents in enterprise and regulated industries. Topics include identity management, authorization frameworks and auditability, reflecting the compliance demands of sectors such as financial services. The Toronto location draws on the city’s concentration of financial technology expertise to inform these discussions.
Production Operations and Reliability
The summit tackles practical challenges in operating agentic AI systems in production environments. Sessions address infrastructure considerations, production reliability, evaluation methodologies and workflow automation. Case studies provide implementation perspectives on scaling multi-agent systems while maintaining operational stability.
Sponsors and Technologies
Sponsors include Auth0, Gravitee, Arcade.dev, BlueRock, Naftiko and Stacklok. Technologies and platforms referenced in the programme include MCP, n8n, Slackbot, Cloudflare Workers and OAuth.
Who Should Attend
The summit targets software engineers, platform engineers, site reliability engineers, DevOps professionals, AI/ML practitioners, product research engineers, developer advocates and technical leads. The programme is particularly relevant for those in financial services, enterprise IT and cloud infrastructure organisations deploying AI agents at scale, from individual contributors to senior technical decision-makers.