The MCP Gateway is Docker’s answer to the growing complexity and security risks of connecting AI agents to MCP servers. By aggregating multiple MCP servers behind a single, secure interface, it gives developers and teams a consistent way to build, scale, and govern agent-based workloads.
Docker Scout reveals the shocking truth: the standard python:3.13 image harbors 152 vulnerabilities across 40 packages. Meanwhile, Docker Hardened Images shows zero detected vulnerabilities. It's the same Python functionality with enterprise-grade security built in
Agentic AI
Discover how Docker's revolutionary cagent framework is transforming AI agent development with simple YAML configurations, multi-agent orchestration, and seamless tool integration.
Learn everything about Docker Hardened Images (DHIs) - secure, minimal, production-ready container images that reduce vulnerabilities by 95%, ensure compliance, and integrate seamlessly into existing workflows.
Model Context Protocol promises seamless AI-tool integration, but real-world vulnerabilities with CVSS scores above 9.0 are compromising everything from GitHub repositories to production databases. Here's how we fix it before it's too late.
Confused about MCP vs RAG? You're not alone. These two AI technologies are transforming how we make language models smarter, but they work in completely different ways.
If you’ve ever spent hours debugging a misconfigured probe or chasing down a rogue config drift, you’re not alone. This post is a no-fluff breakdown of the top Kubernetes headaches every DevOps engineer encounters, paired with proven fixes, pro tips, and real-world examples to save your sanity.
Docker Desktop has evolved far beyond containerization. These 5 features are reshaping development workflows: Model Runner (local AI), MCP Toolkit (secure agents), Docker Offload (cloud GPUs), Debug (enhanced troubleshooting), and Agentic Compose (AI infrastructure).
Ready to revolutionize your AI workflow? Start your GPT-OSS journey today and join the open AI revolution.
Docker. Kubernetes. Agentic AI.
A comprehensive guide to deploying scalable, secure AI agent orchestration using Docker MCP Gateway and Python FastAPI
Transform your local AI into a powerhouse with 176+ tools! Learn how to integrate Docker MCP Toolkit with LM Studio 0.3.17 for web search, GitHub operations, database management, and web scraping - all running locally with complete privacy. Complete setup guide with real troubleshooting tips. 🤖🔧
Stop letting local machine constraints limit your AI ambitions. Docker Offload brings NVIDIA L4 GPUs with 23GB of memory to your fingertips—no hardware investment, no cloud complexity, just familiar Docker commands with unlimited compute power
Ever stared at a blank screen during hackathon registration, wondering "What should I build?" while watching everyone else confidently submit their ideas? You're not alone.
Master Agentic Compose: The complete guide to Docker's new AI-native syntax. Learn models as first-class citizens, MCP Gateway patterns, secrets management, Docker Offload scaling, and advanced multi-agent architectures. Includes full working examples.
From laptop to production in one command: Docker MCP Gateway + Docker Offload lets you test AI agents locally with 8B models, then seamlessly scale to 30B models in the cloud. Complete guide to production-ready agentic AI deployment with intelligent interceptors and enterprise security.
Docker Offload revolutionizes development by seamlessly extending your local Docker workflow to cloud GPU infrastructure. Same commands, cloud-scale performance. ⚡🚀
Docker MCP Toolkit adds OAuth support and streamlined Integration with GitHub and VS Code
The MCP Gateway is Docker's solution for securely orchestrating and managing Model Context Protocol (MCP) servers locally and in production including enterprise environments.
The MCP Catalog currently includes over 120+ verified, containerized tools, with hundreds more on the way. Docker’s MCP Catalog now features an improved experience, making it easier to search, discover, and identify the right MCP servers for your workflows - all using CLI Interface.
Cross-Origin Resource Sharing (CORS) is a security feature implemented by web browsers to control how web applications can request resources from different domains, ports, or protocols. At its core, CORS enforces the Same-Origin Policy—a fundamental web security concept that prevents a webpage from one domain from accessing resources on
Discover why small language models (SLMs) are becoming the future of agentic AI systems, offering superior efficiency, cost reduction, and operational benefits over large language models (LLMs) in enterprise deployments.
