Model Context Protocol
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

