Model Context Protocol Archives

Write Access Is the Easy Part: The Verification Gap in Agentic Kubernetes Remediation

Giving an AI agent the power to change a cluster is now straightforward. Confirming the change landed, did not produce unintended duplicate effects and achieved the outcome the operator actually wanted is ...

Vasuki Uday Kiran Vudathala | September 15, 2026 | agentic AI, AI agents, AI infrastructure, autonomous remediation, cluster management, devops, idempotency, kubernetes, Kubernetes automation, MCP, Model Context Protocol, observability, platform engineering, Postcondition Verification, reliability engineering, SRE

CNCF, cloud native, NVIDIA, AI, Peritus microservices

Deploying Docker AI Agents on OCI and OKE

This guide details the architectural transition of AI agents from experimental scripts to "first-class production workloads" using Oracle Cloud Infrastructure (OCI) and Oracle Kubernetes Engine (OKE). It emphasizes a zero-trust, scalable approach ...

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 | January 6, 2026 | 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 ...