An AI-DevOps MCP server that gives LLMs read-only-by-default access to Kubernetes clusters, Prometheus metrics, and GitHub Actions, enabling natural language queries about infrastructure status and safe write operations with previews.
An open source MCP server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.
MCP server exposing ServiceNow, Jira, and PagerDuty as unified tools for AI agents, enabling incident management, issue tracking, and on-call operations.
A production-grade MCP server providing a secure, natural-language interface to Kubernetes for developers and AI agents, with multi-cluster routing, OIDC authentication, RBAC, and audit logging.
MCP server that equips AI agents with dev workflow tools including GitHub project management, conventional commits, visual regression testing, Jira/Confluence integration, and a persistent memory knowledge graph.
CloudOps MCP is a read-only Model Context Protocol server that exposes normalized operational infrastructure context (logs, metrics, deployments, health) to AI agents through a small set of typed, bounded tools.
