Model Context Protocol
Building AI Agents Using Open-Source Docker cagent and GitHub Models
Discover how Docker’s open-source cagent framework and GitHub Models simplify AI agent orchestration. Learn to build, package, and share a vendor-neutral podcast-generation AI system with production-grade quality and cost efficiency ...
Naga Santhosh Reddy Vootukuri | | AI agent orchestration, AI agent runtime, AI development workflows, AI vendor lock-in, cagent framework, containerized AI agents, Docker AI framework, Docker cagent, Docker Hub AI agents, GitHub Models, MCP tools, Model Context Protocol, multi-agent AI systems, OpenAI compatible API, podcast generation AI, production AI agents, vendor-neutral AI, YAML-based AI configuration
Causely Adds MCP Server to Causal AI Platform for Troubleshooting Kubernetes Environments
Causely introduces a Model Context Protocol (MCP) server that uses causal AI to help developers and SREs diagnose, understand, and fix Kubernetes and application issues directly from their IDE — reducing downtime ...
Mike Vizard | | AI diagnostics, AI for DevOps, AI remediation, causal AI, cloud native, cloud operations, DevOps AI tools, IDE integration, Kubernetes clusters, Kubernetes troubleshooting, MCP server, mean time to remediation, Model Context Protocol, MTT, site reliability engineering, SRE automation
Securing AI Agents With Docker MCP and cagent: Building Trust in Cloud-Native Workflows
Learn how Docker’s Model Context Protocol (MCP) and cagent enable secure, isolated, and auditable AI agent workflows in cloud-native environments ...
Pragya Keshap | | agent-based automation, AgentOps, AI agent security, AI guardrails, AI in DevOps, AI infrastructure security, AI model governance, AI model isolation, AI risk mitigation, AI sandboxing, AI workflow auditing, AI workflow governance, cagent, cloud native security, container security, containerized AI agents, DevSecOps automation, Docker AI tools, Docker containers, Docker MCP, Kubernetes security, least privilege AI, Model Context Protocol, open-source AI security, secure AI pipelines, secure AI workflows, secure containerization, trusted AI agents

