The MCP protocol is almost one year old and during that time, developers have built thousands of new MCP servers.Thinking back to MCP demos from six months ago, most developers were using one or two local MCP servers, each contributing just a handful of tools.Six months later and we have access to thousands of tools, and a new set of issues.

Which MCP servers do we trust? How do we avoid filling our context with tool definitions that we won’t end up needing?

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One of the most exciting advances in modern AI is multimodal support, the ability for models to understand and generate multiple types of input, such as text, images, or audio.  With multimodal models, you’re no longer limited to typing prompts;you can show an image or play a sound, and the model can understand it.This opens a world of new possibilities for developers building intelligent, local AI experiences.
In this post, we’ll explore how to use multimodal models with Docker Model Runner, walk through practical

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Do you ever wish security would stop blocking the tools you need to do your job?Surprise:your security team wants the same.

There you are, just trying to get your work done, when…

You need an AI to translate documentation, but all the AI services are blocked by a security web monitoring tool. You finish coding and QA for a new software version just under the wire, but the release is late because security

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My name is Mike Coleman, a staff solution architect at Docker.This year I decided to turn a Home Depot animatronic skeleton into an AI-powered, live, interactive Halloween chatbot.The result:kids walk up to Mr.Bones, a spooky skeleton in my yard, ask it questions, and it answers back — in full pirate voice — with actual conversational responses, thanks to a local LLM powered by Docker Model Runner.

Why Docker Model Runner?

Docker Model Runner is a tool from

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Docker’s impact on agentic AI, security, developer productivity, costs, ROI

An independent study by theCUBE Research To investigate Docker’s impact on developer productivity, software supply chain security, agentic AI development, cost savings, and ROI, TheCUBE Research asked nearly 400 enterprise IT & AppDev leaders from medium to large global enterprises. The industry context is that enterprise developers face mounting pressure to rapidly ship features, build agentic AI applications, and maintain security.All while navigating a fragmented array

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