Gordon understands your environment, proposes fixes, and takes action across your entire Docker workflow. Now generally available. Image 1: Gordon in Docker Desktop Why Gordon Exists Developers are more productive than ever. AI coding assistants are writing code, merging PRs and cutting review cycles. But the moment something breaks in a container, or a teammate...
#docker desktop
20 posts
19 May
15 May
We’re excited to announce the general availability of Custom Catalogs and Profiles for managing Model Context Protocol (MCP) servers. These two complementary capabilities fundamentally change how teams package, distribute, and manage AI tooling. Custom MCP Catalogs let organizations curate and distribute approved collections of MCP servers. MCP Profiles enable individual developers to easily build, run,...
13 Apr
This post is a collaboration between Docker and Arm, demonstrating how Docker MCP Toolkit and the Arm MCP Server work together to scan Hugging Face Spaces for Arm64 Readiness. In our previous post, we walked through migrating a legacy C++ application with AVX2 intrinsics to Arm64 using Docker MCP Toolkit and the Arm MCP Server...
2 Apr
Docker Offload now Generally Available: The Full Power of Docker, for Every Developer, Everywhere.
DockerDocker Desktop is one of the most widely used developer tools in the world, yet for millions of enterprise developers, running it simply hasn’t been an option. The environments they rely on, such as virtual desktop infrastructure (VDI) platforms and managed desktops, often lack the resources or capabilities needed to run Docker Desktop. As enterprises...
6 Mar
To celebrate International Women’s Day, we sat down with Cecilia Liu, Senior Product Manager at Docker, for three questions about the vision and strategy behind Docker’s MCP solutions. From shaping product direction to driving AI innovation, Cecilia plays a key role in defining how Docker enables secure, scalable AI tooling. Cecilia leads product management for...
23 Feb
AI agents are moving from demos to daily workflows. They write code, run commands, and complete multi-step tasks without constant hand-holding. But general-purpose agents don't know Docker. They don't understand your containers, your images, or your specific setup. Gordon does. Just run docker ai in your terminal or try it in Docker Desktop. Available today...
17 Feb
When it comes to building dynamic and real-work solutions, developers need to stitch multiple databases (relational, document, graph, vector, time-series, search) together and build complex API layers to integrate them. This generates significant complexity, cost, and operational risk, and reduces speed of innovation. More often than not, developers end up focusing on building glue code...
4 Feb
We’re excited to announce that the remote Atlassian Rovo MCP server is now available in Docker’s MCP Catalog and Toolkit, making it easier than ever to connect AI assistants to Jira and Confluence. With just a few clicks, technical teams can use their favorite AI agents to create and update Jira issues, epics, and Confluence...
26 Jan
We recently showed how to pair OpenCode with Docker Model Runner for a privacy-first, cost-effective AI coding setup. Today, we're bringing the same approach to Claude Code, Anthropic's agentic coding tool. This post walks through how to configure Claude Code to use Docker Model Runner, giving you full control over your data, infrastructure, and spend....
22 Jan
Model Context Protocol (MCP) servers are a spec for exposing tools, models, or services to language models through a common interface. Think of them as smart adapters: they sit between a tool and the LLM, speaking a predictable protocol that lets the model interact with things like APIs, databases, and agents without needing to know...
16 Jan
Hello, I’m Philippe, and I am a Principal Solutions Architect helping customers with their usage of Docker. I started getting seriously interested in generative AI about two years ago. What interests me most is the ability to run language models (LLMs) directly on my laptop (For work, I have a MacBook Pro M2 max, but...
16 Dec 2025
Running large language models (LLMs) and other generative AI models can be a complex, frustrating process of managing dependencies, drivers, and environments. At Docker, we believe this should be as simple as docker model run. That's why we built Docker Model Runner, and today, we’re thrilled to announce a new collaboration with Universal Blue. Thanks...
11 Dec 2025
Great news for Windows developers working with AI models: Docker Model Runner now supports vLLM on Docker Desktop for Windows with WSL2 and NVIDIA GPUs! Until now, vLLM support in Docker Model Runner was limited to Docker Engine on Linux. With this update, Windows developers can take advantage of vLLM's high-throughput inference capabilities directly through...
5 Dec 2025
At Docker, we are committed to making the AI development experience as seamless as possible. Today, we are thrilled to announce two major updates that bring state-of-the-art performance and frontier-class models directly to your fingertips: the immediate availability of Mistral AI’s Ministral 3 and DeepSeek-V3.2, alongside the release of vLLM v0.12.0 on Docker Model Runner....
3 Dec 2025
Securing the Docker MCP Catalog: Commit Pinning, Agentic Auditing, and Publisher Trust Levels
DockerTrust is the most important consideration when you connect AI assistants to real tools. While MCP containerization provides strong isolation and limits the blast radius of malfunctioning or compromised servers, we’re continuously strengthening trust and security across the Docker MCP solutions to further reduce exposure to malicious code. As the MCP ecosystem scales from hundreds...
20 Nov 2025
Expanding Docker Model Runner’s Capabilities Today, we’re excited to announce that Docker Model Runner now integrates the vLLM inference engine and safetensors models, unlocking high-throughput AI inference with the same Docker tooling you already use. When we first introduced Docker Model Runner, our goal was to make it simple for developers to run and experiment...
12 Nov 2025
Docker Desktop 4.50 represents a major leap forward in how development teams build, secure, and ship software. Across the last several releases, we've delivered meaningful improvements that directly address the challenges you face every day: faster debugging workflows, enterprise-grade security controls that don't get in your way, and seamless AI integration that makes modern development...
11 Nov 2025
In just a year, the Model Context Protocol (MCP) has become the standard for connecting AI agents to tools and external systems. The Docker MCP Catalog now hosts hundreds of containerized local MCP servers, enabling developers to quickly experiment and prototype locally. We have now added support for remote MCP servers to the Docker MCP...
6 Nov 2025
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...
3 Nov 2025
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....