AI in Marketing Cloud Engagement (MCE) is getting a lot more interesting than simply generating subject lines and copy.

Join me for a technical session designed for the Salesforce Marketing Cloud engineering community, where I'll share how I approached building an AI Email Agent using Agentforce, Salesforce MCP Servers, and Marketing Cloud Engagement.

We'll go behind the scenes of the architecture and explore how an AI agent can move from understanding a campaign request to interacting with MCE to support email development.

We'll also dive into:

🔹 How Salesforce MCP Servers connect AI agents to Marketing Cloud Engagement

🔹 Configuring and authenticating the MCE MCP Server

🔹 Agentforce + MCP + MCE architecture

🔹 Turning natural-language requests into actionable SFMC workflows

🔹 MCP permissions, API scopes, and least-privilege access

🔹 Why MCP experimentation should start in a sandbox/development environment

🔹 Using read-only access before expanding production capabilities

🔹 Human-in-the-loop approvals, dry runs, and validation

🔹 Lessons learned and best practices for MCE engineers

🔹 Where agentic Marketing Cloud development could go next

This isn't just about asking AI to write an email.

It's about exploring what happens when AI agents can securely understand, interact with, and take action within the Marketing Cloud ecosystem.

If you're an MCE architect, developer, or technical marketer exploring Agentforce, MCP, or agentic marketing, this session is for you.

#Salesforce #SFMC #MarketingCloud #Agentforce #MCP #ModelContextProtocol #SalesforceDevelopers #MarketingCloudEngagement #AI #AgenticAI