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In this episode of The Context Window, Tracy Lee is joined by Brandon Mathis and Ben Lesh to talk about what’s actually happening with MCP now that the negative discourse has cooled off and builders have moved on to shipping. They break down the difference between MCP and MCP apps, why the app layer matters for real data, and interactivity, and how teams can reuse existing web components inside chat experiences instead of rebuilding from scratch.
The conversation stays practical: what still feels bleeding edge, where the developer experience is rough, and why security and vetting will be the make or break challenge as app marketplaces scale. Along the way, they compare this new wave of AI app stores to mobile and Slack style ecosystems, talk through how companies might think about distribution and monetization, and why standards are finally reducing the build it twice problem.
What You Will Learn:
The difference between MCP and MCP apps, and why the app layer changes what is possible
How MCP apps enable real data access, UI rendering, and interactive workflows inside chat
Where the developer experience still feels early and what limitations teams should expect
The security and vetting challenges AI app marketplaces must solve as adoption grows
How standards like MCP could reduce duplicate work across OpenAI, Anthropic, and future platforms
Tracy Lee on Linkedin: https://www.linkedin.com/in/tracyslee/
Ben Lesh on Linkedin: https://www.linkedin.com/in/blesh/
Brandon Mathis on Linkedin: https://www.linkedin.com/in/mathisbrandon/
This Dot Labs Twitter: https://x.com/ThisDotLabs
This Dot Media Twitter: https://x.com/ThisDotMedia
This Dot Labs Instagram: https://www.instagram.com/thisdotlabs/
This Dot Labs Facebook: https://www.facebook.com/thisdot/
Sponsored by This Dot Labs: https://ai.thisdot.co/
By This Dot LabsIn this episode of The Context Window, Tracy Lee is joined by Brandon Mathis and Ben Lesh to talk about what’s actually happening with MCP now that the negative discourse has cooled off and builders have moved on to shipping. They break down the difference between MCP and MCP apps, why the app layer matters for real data, and interactivity, and how teams can reuse existing web components inside chat experiences instead of rebuilding from scratch.
The conversation stays practical: what still feels bleeding edge, where the developer experience is rough, and why security and vetting will be the make or break challenge as app marketplaces scale. Along the way, they compare this new wave of AI app stores to mobile and Slack style ecosystems, talk through how companies might think about distribution and monetization, and why standards are finally reducing the build it twice problem.
What You Will Learn:
The difference between MCP and MCP apps, and why the app layer changes what is possible
How MCP apps enable real data access, UI rendering, and interactive workflows inside chat
Where the developer experience still feels early and what limitations teams should expect
The security and vetting challenges AI app marketplaces must solve as adoption grows
How standards like MCP could reduce duplicate work across OpenAI, Anthropic, and future platforms
Tracy Lee on Linkedin: https://www.linkedin.com/in/tracyslee/
Ben Lesh on Linkedin: https://www.linkedin.com/in/blesh/
Brandon Mathis on Linkedin: https://www.linkedin.com/in/mathisbrandon/
This Dot Labs Twitter: https://x.com/ThisDotLabs
This Dot Media Twitter: https://x.com/ThisDotMedia
This Dot Labs Instagram: https://www.instagram.com/thisdotlabs/
This Dot Labs Facebook: https://www.facebook.com/thisdot/
Sponsored by This Dot Labs: https://ai.thisdot.co/