ScaleMind
AI-powered infrastructure autoscaling MCP server
What is ScaleMind?
ScaleMind is an intelligent autoscaling MCP (Model Context Protocol) server that enables DevOps engineers to manage cloud infrastructure scaling through natural language conversations in Cursor IDE.
Eliminate manual scaling decisions, optimize costs, and predict scaling needs using AI-driven analysis. No complex UIs - just chat with ScaleMind to manage your AWS and Kubernetes infrastructure.
Core Features
Resource Analysis
Get real-time CPU, memory, network, and disk metrics for your AWS EC2 instances and Kubernetes pods. Receive AI-powered health status and recommendations.
Horizontal Scaling
Add or remove instances/pods with cost estimation before execution. Safety limits, dry-run mode, and rollback capabilities ensure safe scaling operations.
Cost Estimation
Calculate costs before scaling with hourly, daily, and monthly projections. Compare instance types and get spot instance pricing recommendations.
AI Recommendations
Receive intelligent scaling strategy recommendations based on current load, budget constraints, and workload patterns. Get confidence scores and alternative options.
Multi-Cloud Support
Manage infrastructure across AWS (EC2, Auto Scaling, CloudWatch) and Kubernetes (Deployments, HPA) from a single interface in Cursor IDE.
Natural Language Interface
Simply ask questions in plain English. No complex UIs or dashboards - just chat with ScaleMind in Cursor IDE to manage your infrastructure.
Key Benefits
Save Time
Eliminate 2-4 hours/week spent manually checking dashboards and making scaling decisions.
Reduce Costs
Optimize cloud spending with AI-driven recommendations. Users save an average of $500/month.
Prevent Downtime
Predictive scaling recommendations help you scale proactively before traffic spikes cause issues.
Developer-Centric
Integrated directly into Cursor IDE - no context switching between tools. Work where you code.