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AI Agents With MCP Now Available for Pre-order on Amazon

Kyle Stratis

Kyle Stratis

04 Nov 2025
AI Agents With MCP Now Available for Pre-order on Amazon
Photo by Ivars Utināns / Unsplash

Just a very quick note to let you know that my upcoming book "AI Agents with MCP" is now available for pre-order on Amazon.

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Will Software Survive? Plus: multi-agent systems, new Claude models, and more

Will Software Survive? Plus: multi-agent systems, new Claude models, and more

As always, a whole lot has happened in the AI world since the last newsletter went out. Let's try to do a quick catch-up! First, in Software Survival 3.0, Steve Yegge (of Beads and Gas Town fame/infamy), argues a hopeful case for the future of software

By Kyle Stratis 03 Mar 2026
How to Wrangle Claude Code, New MCP Book Chapters, Agent Orchestration and More

How to Wrangle Claude Code, New MCP Book Chapters, Agent Orchestration and More

I'm finally emerging (kind of) from the haze of the holidays, surgery recovery, and the entire household getting the flu with a bevy of news for you. We drove from Boston to Florida for the holidays to spend it with our family down there, spent a lot of

By Kyle Stratis 22 Jan 2026
Going to (or already at) ODSC West? Also, Claude Skills and a Spotify MCP Server

Going to (or already at) ODSC West? Also, Claude Skills and a Spotify MCP Server

On Thursday afternoon, I'll be giving a workshop on how to give your LLM-based applications superpowers by creating MCP clients for them, allowing you to add tools to your application's repertoire without having to build the tools yourself (unless you want to). I know I love

By Kyle Stratis 28 Oct 2025
Big News Roundup

Big News Roundup

I picked one hell of a week (or several) to be heads-down. Between writing new chapters and updating old ones for AI Agents with MCP, finishing my slides and project for my virtual workshop at ODSC West on building MCP clients, the general festivities that come with being a dad

By Kyle Stratis 19 Oct 2025
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The Signal Path

Cutting through the AI noise to find what actually matters for engineers, data practitioners, and the businesses that depend on them.