AI Agent
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Docker at AI Engineer Paris: Build and Secure AI Agents with Docker
Highlights from AI Engineer Paris: how Docker’s MCP Toolkit & Catalog and cagent help teams build, run, and secure AI agents—from local dev to production.
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From Shell Scripts to Science Agents: How AI Agents Are Transforming Research Workflows
See how AI science agents automate literature search, ADMET, and analysis in containerized, reproducible workflows—from laptop to cloud—with Docker.
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The Trust Paradox: When Your AI Gets Catfished
Learn how MCP prompt-injection exploits trusted tools—and how to defend with context isolation, AI behavior checks, and human-in-the-loop review.
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Boost Your Copilot with SonarQube via Docker MCP Toolkit and Gateway
Boost code quality by integrating SonarQube with GitHub Copilot using Docker MCP Toolkit and Gateway. Faster, secure, AI-driven coding in your IDE.
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Building AI Agents with Docker MCP Toolkit: A Developer’s Real-World Setup
Run a GitHub Q&A agent with Docker MCP Toolkit. Use Compose to orchestrate services, keep tooling decoupled, and scale reliably from local to CI/CD.
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Building AI agents made easy with Goose and Docker
Learn how you can build an AI agent easily with Goose and Docker Model Runner.
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Beyond the Chatbot: Event-Driven Agents in Action
Learn how to build an event-driven agentic application, without needing a chat interface, by leveraging Docker MCP Server and Mastra!
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Docker MCP Catalog: Finding the Right AI Tools for Your Project
Learn what MCP is and how to find the right AI developer tools with the Docker MCP Catalog.
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