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Rafay Systems MCP Server
Managed MCP server from Rafay Systems that gives platform, DevOps and SRE teams governed AI assistance for infrastructure operations without exporting data or building one-off integrations. Provides fleet intelligence, cost attribution, and incident diagnosis for Kubernetes environments managed through Rafay. Uses the same RBAC and project boundaries teams already have in place. Connects AI assistants to Rafay operational context through a standard protocol for cluster inventory, health status, workload placement and infrastructure cost analysis. Launched July 15, 2026.
MCP unverified
Integration
| Transport | http |
| Auth | api-key |
| Endpoint | https://rafay.co |
Use Cases
| 01 | Inventory Kubernetes clusters across projects, summarize health and configuration status, and identify stale or underutilized environments through AI assistants connected to Rafay via MCP |
| 02 | Enable platform engineers to correlate workload placement with node specifications and infrastructure cost using natural language queries in AI tools connected to Rafay via MCP |
| 03 | Build AI-powered incident diagnosis workflows where agents access Rafay operational context with existing RBAC boundaries to troubleshoot Kubernetes environments via MCP |
Tags
kubernetes infrastructure devops sre fleet-management cost-attribution platform-engineering
Machine-readable: /api/servers.json
· JSON-LD schema embedded in <head>