In this episode of The Marketing Front Lines, we speak with Becky Brooks, Head of Marketing at MCP Manager. As AI capabilities rapidly evolve, a new protocol is fundamentally changing how marketers can leverage artificial intelligence in their daily work. MCP (Model Context Protocol) transforms AI from a text generation tool into a powerful digital colleague capable of accessing and manipulating your actual business tools. While technical teams have quickly adopted this technology, most marketers remain unaware of its potential—despite major platforms like Atlassian, Asana, Figma, and HubSpot already offering MCP servers. Becky shares how she’s marketing to a highly technical audience, why TikTok surprisingly became a viable B2B channel, and how marketers can position themselves at the cutting edge of AI adoption. Topics Discussed: - Understanding MCP (Model Context Protocol) and how it differs from basic AI usage - How MCP enables AI agents to access and manipulate business tools with read/write capabilities - Why technical audiences have adopted MCP while marketing tools lag in the top 50 most popular servers - Marketing technical products to skeptical, BS-detector-equipped engineering audiences - Building credibility with technical teams and IT departments - Optimizing content for LLM citation and the overlap with traditional SEO - Using TikTok to reach technical B2B audiences (and getting actual sales calls from it) - The authenticity advantage of TikTok versus LinkedIn’s increasingly AI-generated content Lessons For B2B Tech Marketers: - Position Yourself as an AI Early Adopter Through MCP: Most marketers feel pressure to ”be good at AI” without specific direction. Learning to use MCP with your existing tech stack (HubSpot, Figma, your CRM) positions you as genuinely skilled at AI implementation. The learning curve is only about half a day, but the credibility gain—especially with technical colleagues—is substantial. Start by auditing your tech stack and searching for ”[Tool Name] MCP server” to find which tools already support the protocol. - Proactively Engage IT on AI Security to Build Credibility: Before implementing MCP servers that have read/write access to your business tools, approach your IT team with questions about security best practices. This conversation accomplishes two goals: it protects your data and demonstrates technical sophistication to colleagues who are already thinking about these issues. Frame it as excitement about productivity gains rather than asking for permission. - Cultivate LinkedIn as Your AI Trend Radar: Build an algorithm that serves you AI thought leadership from marketers, technical folks, and product managers. You’ll start seeing patterns in what technologies are gaining adoption across teams. When you notice topics ”exploding on the scene” across your feed, that’s your signal to investigate whether your team should adopt them. // Sponsors:  Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don’t Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role.  Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM