AI Summit and CAT-MIP Initiative Cameron spoke at an AI summit hosted by N-able, a company formerly part of SolarWinds. His talk focused on the infrastructure gaps that Managed Services Providers (MSPs) face when handling AI. Consortium for AI Terminology (CAT-MIP): https://cat-mip.org/N-able (Host Company): https://www.n-able.com/AI Market and Stock News Google's stock is performing exceptionally well, and Gemini reportedly has 600-650 million daily active users. A new deal between Microsoft and OpenAI restructures OpenAI into a public benefit corporation, with Microsoft holding a 27% stake. As part of this, OpenAI pre-committed to purchasing $250 billion in cloud compute from Azure.Gemini User Statistics (Note: Research indicates 35M daily users and 450M monthly users): https://vertu.com/lifestyle/gemini-vs-chatgpt-user-numbers-comparison-features-2025-trends/The MCP Server Deployment Challenge Tom's project involves building an MCP (Model Context Protocol) server for massive.com, the new name for market data provider Polygon. Massive (formerly Polygon): https://massive.com/MCP Central Project Cameron's new project, mcpcentral.io, aims to solve this deployment problem. It builds the necessary infrastructure for the agent layer, making agent deployment and management easy for technical users and MSPs. The platform is designed for multi-tenancy, allowing MSPs to run services for clients without deep DevOps expertise.MCP Central Server Example: https://skywork.ai/skypage/en/ai-engineer-langchain-hub/1981168855956770816LangChain Agent Builder Demo A demo of LangChain's new Agent Builder, currently in private beta, shows how it creates agents from natural language. The tool includes pre-built triggers for services like Gmail, Slack, and Linear. An example email assistant agent successfully analyzed an inbox, categorized emails, and created a draft reply directly in a Gmail drafts folder.LangChain Agent Builder Documentation: https://docs.langchain.com/langsmith/agent-builderClaude Skills Explained and Demoed Anthropic's "Claude Skills" feature has been available for about a month. Skills are defined in skill.md files that provide instructions and can reference scripts, which then run in a secure, sandboxed cloud container. This method saves context and allows for repeatable, complex workflows. A demo of the "MCP builder" skill shows it successfully scaffolding a new, production-ready MCP server for the Massive/Polygon options trading API.Explanation of Claude Skills: https://simonwillison.net/2025/Oct/16/claude-skills/Getting Started with Claude Skills: https://neon.com/blog/getting-started-with-claude-skillsChapters00:00:00 Introduction & Weekly AI News00:01:33 Minimax M2 Model Analysis00:13:15 DGX Hardware Update00:14:19 AI Summit & Managed Services Providers (MSPs)00:16:24 CATMIP: A Terminology Standard for AI in IT00:20:53 Big Tech News: Google, Gemini, and Market Growth00:30:25 Demo: Options Trading MCP Server (Polygon/Massive)00:35:21 The Problem: How to Host and Share MCP Servers00:37:47 MCP Central00:44:20 ChatGPT Connectors & Developer Mode00:49:48 Grok Code Fast Model Update00:50:47 LangChain V1 Updates & LangSmith00:52:13 Demo: LangChain Agent Builder00:57:43 Demo: Email Assistant (Agent Builder)01:12:12 Agent Builder: Multi-Tenancy & Security01:13:43 LangSmith: Annotation, Datasets & Experiments01:18:54 Demo: LangSmith Agent Insights01:23:56 Introduction to Claude Skills01:25:12 Demo: Algorithmic Art Skill01:30:38 Claude Skills GitHub Repo01:33:25 Demo: Canvas Design Skill (Podcast Poster)01:37:41 Claude Plugin Marketplace01:40:00 Claude Skill Creator & MCP Builder01:45:26 Demo: Using the MCP Builder Skill01:50:43 Integrating LangSmith with Claude Code01:55:38 Quick Tip: Remote DGX Access with Cloudflare Tunnels01:56:15 Final Demo: Options Trading MCP Server Build Complete01:58:01 Wrap-up