Zinloop is the AI-native system design studio for engineers. Generate architectures from a prompt, practice interviews with AI feedback, export to Terraform or Kubernetes, and collaborate with your team — all in one canvas.
AI coding agents (GitHub Copilot, Cursor, Claude Code) write code in isolation — they don't know your actual system topology, service contracts, or DB schemas. Zinloop's MCP server bridges that gap: push your architecture once, and every agent query is grounded in your real design.
register_design()Store the full system architecture as queryable contextget_design()Retrieve the current architecture for agent context injectionget_node_schema()Fetch input/output schema for a specific service nodelist_tools()List all MCP tools available in this Zinloop instance12 AI-powered tools built into one canvas — from first prompt to production infrastructure.
Describe your system in plain English — get a full-stack, layered architecture with gateway, services, data, K8s, and monitoring instantly.
Drag, resize, and connect nodes on an infinite canvas. Every component is inspectable, editable, and exportable.
Start from 6 production-proven blueprints: URL shortener, RAG chatbot, e-commerce, ETL pipeline, real-time chat, microservices platform.
AI analyses your design and asks 5 targeted system design interview questions. Get instant scoring (0–10) with strengths and improvements.
Save named snapshots of your design, then compare any two versions side-by-side with color-coded node and edge changes.
One-click export to Terraform (HCL), Docker Compose, or Kubernetes YAML. AI maps every node to real cloud resources.
Score your design against SOC 2, GDPR, HIPAA, PCI-DSS, and ISO 27001. Get gap analysis and remediation steps instantly.
Blast-radius analysis — inject a failure anywhere in your system and see cascading impacts, affected services, and recovery steps.
AI generates a phased implementation plan with milestones, stack recommendations, and actionable steps — tracked in the studio.
Export your full session bundle as a shareable link or JSON file. Teammates import it in one click — no account required.
Publish your architecture as a read-only embed — drop it in Notion, Confluence, or any iframe. Share public links instantly.
Register your design in Zinloop's MCP server. AI coding agents (Copilot, Cursor, Claude Code) query it to understand your system and generate code that actually fits.
Push directly to n8n workflow JSON or your MCP server. Take designs from canvas to production automation without manual translation.
Build your design, then let Zinloop's AI take you through a real interview. 5 targeted questions based on your actual architecture — covering scalability, failure modes, cost, and security tradeoffs.
How would you handle hot-spot partitioning in your Cassandra layer?
Your API Gateway receives 500K RPS. What changes in your current design?
If Redis goes down, what's the blast radius and how does your design recover?
AI maps every node in your design to real AWS resources, Docker services, or Kubernetes manifests. Download ready-to-apply infrastructure code.
Save named snapshots at any point, then compare two versions side-by-side. Every added, removed, and changed node is clearly highlighted.
Score your architecture against SOC 2, GDPR, HIPAA, PCI-DSS, and ISO 27001. Get a control-by-control gap report and remediation steps — in the studio, not a separate tool.
Click any demo to launch it in the studio with real data and live execution.
One prompt. Full-stack architecture in 30 seconds. Interview coaching, IaC export, and team collaboration built in.