RouterMCP
MCP Packs

DevOps/SRE Pack

Operate services with cloud, cluster, and monitoring MCP servers.

DevOps/SRE Pack

Operate your infrastructure and respond to incidents faster by connecting cloud platforms, container orchestration, and observability tools through MCP.

ServerPurpose
Kubernetes MCPQuery pods, logs, events, deployments
AWS MCPDescribe resources, invoke runbooks
Prometheus MCPQuery metrics and alerts
Terraform MCPPlan and apply infrastructure changes
GitHub MCPManage repos, PRs, and deployments

Example Configuration

{
  "mcpServers": {
    "kubernetes": {
      "command": "npx",
      "args": ["-y", "@kubernetes/mcp-server"],
      "env": { "KUBECONFIG": "${KUBECONFIG}" }
    },
    "aws": {
      "command": "npx",
      "args": ["-y", "@aws/mcp-server"],
      "env": {
        "AWS_ACCESS_KEY_ID": "${AWS_ACCESS_KEY_ID}",
        "AWS_SECRET_ACCESS_KEY": "${AWS_SECRET_ACCESS_KEY}"
      }
    },
    "prometheus": {
      "command": "npx",
      "args": ["-y", "@prometheus/mcp-server"],
      "env": { "PROMETHEUS_URL": "${PROMETHEUS_URL}" }
    }
  }
}

Common Workflows

  • Incident triage: Fetch logs from Kubernetes, check Prometheus alerts, then roll back via AWS or kubectl
  • Capacity planning: Query resource utilization, analyze trends, plan scaling
  • Deployment verification: Check pod status, review metrics, validate health endpoints

Safety First

Use read-only credentials where possible. Restrict write operations to specific namespaces or resources. Never expose production secrets in MCP configs.

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