How to Run MCP Servers: Docker vs Kubernetes vs Cloud Platforms
DevOps & AI Toolkit
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We want to help you learn the tools and the processes that you should be using and applying in your day-to-day job. We want to help you make decisions. What works well, what doesn't work, why you should choose one tool over the other, and how to get up-to-speed quickly. Which tool works the best for a given task? What should we explore in more depth, and what is a waste of time? This channel has AI & DevOps in the name because we believe that the only way forward is to combine different types of expertise, be it development, or operations, or AI, or anything else. Ultimately, we need to be able to develop, test, deploy, and operate our systems without friction caused by silos formed around distinct types of expertise. Hence, our focus is on bridging the gap by focusing on the topics that allow developers, operators, and everyone else to work together by adopting tools and processes that are relevant today and foster collaboration. Viktor Farcic & Darin Pope
Video Description
Discover the four main ways to deploy MCP servers, from simple local execution to enterprise-ready Kubernetes clusters. This comprehensive guide explores the trade-offs between NPX local deployment, Docker containerization, Kubernetes production setups, and cloud platform alternatives like Fly.io and Cloudflare Workers. You'll see practical demonstrations of each approach using a real MCP server, learning about security implications, scalability challenges, and team collaboration benefits. The video covers why local NPX execution creates security risks and dependency nightmares, how Docker provides better isolation but remains single-user, and why Kubernetes offers the best solution for shared organizational infrastructure. We also examine the ToolHive operator's limitations and explore various cloud deployment options with their respective vendor lock-in considerations. Whether you're developing MCP servers or deploying them for your team, this guide will help you choose the right deployment strategy for your specific needs. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Sponsor: Browserbase 🔗 https://browserbase.com ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #MCP #ModelContextProtocol Consider joining the channel: https://www.youtube.com/c/devopstoolkit/join ▬▬▬▬▬▬ 🔗 Additional Info 🔗 ▬▬▬▬▬▬ ➡ Transcript and commands: https://devopstoolkit.live/ai/mcp-server-deployment-guide-from-local-to-production 🔗 Model Context Protocol: https://modelcontextprotocol.io ▬▬▬▬▬▬ 💰 Sponsorships 💰 ▬▬▬▬▬▬ If you are interested in sponsoring this channel, please visit https://devopstoolkit.live/sponsor for more information. Alternatively, feel free to contact me over Twitter or LinkedIn (see below). ▬▬▬▬▬▬ 👋 Contact me 👋 ▬▬▬▬▬▬ ➡ BlueSky: https://vfarcic.bsky.social ➡ LinkedIn: https://www.linkedin.com/in/viktorfarcic/ ▬▬▬▬▬▬ 🚀 Other Channels 🚀 ▬▬▬▬▬▬ 🎤 Podcast: https://www.devopsparadox.com/ 💬 Live streams: https://www.youtube.com/c/DevOpsParadox ▬▬▬▬▬▬ ⏱ Timecodes ⏱ ▬▬▬▬▬▬ 00:00 Model Context Protocol (MCP) Deployment 01:40 Browserbase (sponsor) 02:50 MCP Local NPX Deployment 06:32 MCP Docker Container Deployment 09:23 MCP Kubernetes Production Deployment 14:09 MCP ToolHive Kubernetes Operator 19:15 Alternative MCP Deployment Options 22:46 Choosing the Right MCP Deployment
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