Get More Out of Your AI Workflows with MCPs

Model Context Protocol (MCP) is becoming one of the most important tools for getting more value from AI workflows. In this episode, Pendo Field CPO, EMEA Dave Killeen explains what MCP is, why it matters, and how it helps organizations turn their scattered, siloed data into synthesized, useful insights that no single tool could offer on its own.

MCPs connect your AI assistant to multiple tools and data sources, so instead of jumping between dashboards, you can ask questions in natural language and get answers you really need.

There are several MCPs available, and in this episode, Dave Killeen walks through four real-world scenarios using Pendo’s MCP to demonstrate the value MCPs have on a PM's day-to-day work.

Chapters:

• 00:00 Intro: Why MCP is everywhere right now
• 00:30 What makes MCP different from traditional integrations
• 01:10 The Pendo MCP: What it connects to
• 01:41 Demo 1: Account review prep (QBR in 30 minutes)
• 02:55 Demo 2: Portfolio review (which accounts need attention)
• 04:05 Demo 3: Feedback themes across entire customer base
• 04:45 Demo 4: From insights to executive slides
• 06:22 Wrap: What MCP changes about how you work
• 07:05 Where to find MCP servers (smithery.ai)

Tools mentioned:

• MCP (Model Context Protocol)
• Pendo MCP (product engagement, feedback, user behavior data)
• Claude (AI with MCP integration)
• Smithery.ai (MCP server directory)
• Anthropic's built-in slides generator

The Vibe PM: Quick tips. AI flows. Big vibes.

Presented by Pendo

Connect with Dave Killeen on LinkedIn | Explore more at pendo.io