AI Meets Digital ID: Credential Issuance and Verification using MCP [Live Demo]
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
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