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Rafay MCP Server
Managed MCP server from Rafay Systems that gives platform, DevOps, and SRE teams a governed interface for querying operational infrastructure context through AI assistants. Connects MCP-compatible clients to the Rafay Platform using existing RBAC and project boundaries. Initial workflows cover fleet intelligence and cost attribution for Kubernetes environments, plus incident diagnosis with structured root-cause analysis for common issues like image-pull errors, crash loops, and failed deployments. Read-only access enforced through Rafay API key authentication. Available via feature flag. Announced July 15, 2026.
MCP verified
Integration
| Transport | http |
| Auth | api-key |
| Endpoint | Rafay MCP |
Use Cases
| 01 | Query Kubernetes fleet data across projects from AI assistants to inventory clusters, summarize health and configuration status, and identify underutilized environments with cost-per-workload analysis using Rafay's existing RBAC boundaries |
| 02 | Diagnose Kubernetes incidents by asking AI assistants which clusters or namespaces are degraded, with structured root-cause analysis for common issues like image-pull errors, crash loops, and unschedulable pods |
| 03 | Build agentic operations workflows on top of the Rafay Platform by connecting MCP-compatible AI tools to live infrastructure context without writing bespoke translation layers for every API and data source |
Tags
kubernetes infrastructure devops sre fleet-management cost-attribution incident-response enterprise
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>