Office Hours: Introducing MCP Connector

Wonderflow's Head of Product, Mike Ruini, walks through the new MCP Connector and what it unlocks for teams building AI agents on top of consumer intelligence data.

The session covers live demos of agents built in minutes: a weekly notification system that flags product complaints as they come in, a PDP optimization workflow that pulls consumer sentiment to refresh underperforming pages, and a Jira ticket generator that surfaces the most relevant product issues for engineering teams. Mike also breaks down how the connector fits into a broader agentic infrastructure, security and governance considerations for IT teams, and answers audience questions on setup, licensing, and use case ideas.

What you'll learn:

• How to connect an AI client (Claude, Copilot, or similar) to Wonderflow data through MCP
• Real examples: automated notifications, product page optimization, engineering ticket triage, and marketing campaign generation
• Why governance and access control carry over automatically from your existing Wonderflow setup
• What's needed to get started (account scope, licensing, and IT setup)

Timestamps:
0:00 - Introduction and the hackathon story behind the MCP Connector
6:25 - What the MCP Connector enables
8:31 - Live demo: setting up a weekly complaint notification agent
16:24 - How a PDP optimization agent works
18:09 - Validating product feedback and building surveys
19:43 - Marketing campaign generation from consumer feedback
21:02 - Turning feedback into prioritized engineering tickets
24:40 - Q&A: connecting MCP to Cowork, licensing, and more notification use cases

Want to see the MCP Connector in action for your team? Book a demo at wonderflow.ai, or reach out to your Customer Success Manager if you're already a customer.