Quickstart
Get from zero to a deployed app in three steps. Total time: about 2 minutes.
Prerequisites
Section titled “Prerequisites”- Node.js 20+ installed
- An AI editor that supports MCP: Claude Code, Cursor, or any MCP-compatible tool
- A Mistflow account — sign up free
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Install the MCP server
Run the installer, which auto-detects your editor and configures everything:
Terminal window npx @mistflow/installerTerminal window npm install -g @mistflow/installermistflow-installThe installer will:
- Detect which AI editors you have installed
- Add the Mistflow MCP server to each editor’s config
- Prompt you to log in (opens your browser)
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Describe your app
Open your AI editor and describe what you want to build:
Build me a SaaS landing page for a developer analytics tool called"DevPulse". It should have a hero section, feature grid, pricingtable with 3 tiers, and a waitlist signup form.Your AI editor will call Mistflow’s tools automatically:
plan-app— Creates a structured build planinit-project— Scaffolds the project from a templateimplement-step— Builds each feature step by stepdeploy— Pushes it live to a.mistflow.appURL
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See it live
Within seconds, you’ll get a URL like:
https://devpulse.mistflow.appOpen it. Your app is live. You can now:
- Ask your AI to make changes (Mistflow redeploys automatically)
- Connect a custom domain
- Push to GitHub
- View build history in the dashboard
What just happened?
Section titled “What just happened?”Behind the scenes, your AI editor made a series of MCP tool calls to Mistflow:
graph LR A[You describe the app] --> B[AI calls plan-app] B --> C[AI calls init-project] C --> D[AI calls implement-step x N] D --> E[AI calls deploy] E --> F[Live app]Every step is recorded. Open the Mistflow dashboard to see the full build history, deployment logs, and provenance trail for every feature.
Next steps
Section titled “Next steps”- How It Works — Understand the architecture
- MCP Tools Reference — See every tool available
- Templates — Explore starting points
- Your First App (detailed walkthrough) — A longer, guided tutorial