Agentic AI for Everyone: Open-Source Tools, Techniques, and MCP

Details
Title: Agentic AI for Everyone: Open-Source Tools, Techniques, and Model Context Protocol for Knowledge Workers
We’re excited to invite you to our next PMNA networking event hosted at the Red Hat building in Downtown Raleigh! Join us for an evening of learning, networking, and real-world insights into the rapidly evolving landscape of AI and open-source technology.
Session Overview:
Clayton will demystify key terms like “agentic,” “open source,” and Model Context Protocol (MCP) through live demonstrations of AI models, clients, and tools. This session is designed for knowledge workers, PMs, and tech leaders looking to empower their workflows with the next generation of AI — no deep technical background required.
Key Topics Include:
Understanding Model Context Protocol (MCP):
Discover how MCP helps AI systems become more flexible, modular, and context-aware, and how it can revolutionize the way you design and interact with AI-powered solutions.
Open vs. Closed Source AI:
How to choose the right models for your needs — balancing accessibility, performance, and data privacy.
Hands-On Demos:
· Black-Box models vs Open-source models
· Using provider-locked AI clients like Claude and ChatGPT vs open-source clients like Goose**, Dive,** and n8n
· Practical AI tools for research, executive assistance, and automation
Building Agentic Workflows:
· Learn to combine AI models, tools, and protocols to create tailored workflows that boost productivity and decision-making.
Why You Should Attend:
· Learn how Model Context Protocol (MCP) is reshaping AI workflows
· Get actionable insights you can apply immediately
· Explore the latest in open-source AI tools and ecosystems
· Meet other project leaders, innovators, and technologists
· Be part of a fast-growing community shaping the future of work
Agenda:
5:30 PM – Check-in & Networking
6:00 PM – Presentation + Live Demos by Clayton Chancey
7:00 PM – Q&A and Networking

Agentic AI for Everyone: Open-Source Tools, Techniques, and MCP