MCTL

Getting Started ​

MCTL is an AI-native infrastructure management platform. Choose your path based on how you want to interact with the platform.

For AI Users (MCP) ​

Connect your AI assistant to MCTL and manage infrastructure through natural language.

  1. Sign in at mctl.ai/mcp with your GitHub account
  2. Connect your AI client (Claude, Cursor, or VS Code) — see Connecting
  3. Start managing — ask your AI to list tenants, deploy services, check logs
"Show me all services in the production tenant"
"Deploy my-app from ghcr.io/myorg/my-app:1.0.0 to the staging tenant"
"What incidents are currently open?"

For Platform Engineers ​

Use the REST API and GitOps workflows to integrate MCTL into your existing toolchain.

  1. Get API access — authenticate via GitHub OAuth at mctl.ai
  2. Explore the API — see REST API Reference
  3. Set up GitOps — configure your repos to deploy through ArgoCD

For Team Leads ​

Create and manage your team's infrastructure through the developer portal.

  1. Create a tenant at mctl.ai or via MCP
  2. Invite your team — grant GitHub repository access
  3. Deploy services — use the portal at app.mctl.ai or MCP tools

Key Concepts ​

ConceptDescription
TenantAn isolated environment for a team with its own namespace, RBAC, and resource quotas
ServiceA containerized application deployed and managed by MCTL
OperationAn async task (deploy, scale, rollback) tracked to completion
MCPModel Context Protocol — connects AI assistants to your infrastructure

Next Steps ​