AI agents are quickly moving from experimentation to real-world deployment, but one critical question remains: how do you establish trust when agents start acting on behalf of users?
In a recent webinar, Mike Parkhill (Head of Engineering at Dock Labs) and Agne Caunt (Product Owner at Dock Labs) explored this challenge and demonstrated how identity infrastructure can play a central role in solving it.
The session focused on Truvera’s MCP (Model Context Protocol) server, showing how agents can issue, verify, and eventually hold digital ID credentials, and how this enables more secure, auditable, and constrained agent behavior. Along the way, they walked through a live demo of credential issuance and verification, and shared their perspective on where agent identity, delegation, and agentic commerce are heading next.
(01:08) Why agent identity is becoming a problem
(02:20) What MCP (Model Context Protocol) is
(03:19) Goal: identity infrastructure for AI agents
(04:27) What MCP enables for agents (analogy + capabilities)
(05:56) Demo setup (Claude + web wallet)
(14:27) Roadmap: wallet MCP and agent capabilities
(15:16) Agent-to-agent (A2A) and DIDComm direction
(16:13) Introduction to Agentic Payment Protocol (AP2)
(18:02) AP2 mandates (cart, intent, payment) explained
(19:51) Demo: issuing a cart mandate to an agent wallet
(21:31) End of demo and transition to Q&A
(22:21) What is an agent’s identity?
(25:05) How MCP improves security and limits agent scope
(28:07) Schema flexibility and support for new protocols
(30:03) Ease of implementation and setup
(31:43) How agents get their identity (onboarding)
(33:04) Human-to-agent delegation model
(34:19) EUDI and business wallet discussion
(40:38) What happens when an agent invokes MCP tools
(42:52) Multi-tenant vs one-to-one MCP architecture
(45:36) Why did:cheqd was chosen
(47:41) Real-world use cases (e-commerce, travel)
(49:01) Sensitive use cases (loans, insurance, documents)
(50:23) DID methods (did:key vs cheqd) explained
(52:45) Closing remarks and next steps
📚 EXPLORE:
Website - https://www.dock.io/
👨👩👧👧 FOLLOW:
LinkedIn - https://www.linkedin.com/company/docknetwork/