What is Mistflow?

Mistflow is an MCP server that plugs into AI coding editors like Claude Code, Cursor, and Codex CLI. It gives your AI the ability to plan, scaffold, build, and deploy full applications — without you writing config files, setting up hosting, or managing infrastructure.

The problem

AI coding tools are great at writing code. But turning that code into a live, deployed application still requires you to:

• Set up a project structure
• Configure build tools
• Choose and configure hosting
• Manage domains and DNS
• Track what was built and why

Mistflow handles all of that through MCP tools your AI editor already knows how to use.

How it fits together

You (natural language) → AI Editor (reasoning) → Mistflow (building + deploying)

Tip

Mistflow never calls an LLM. Your AI editor does all the thinking. Mistflow provides the tools — plan, scaffold, build, deploy, debug — and executes them.

Key concepts

MCP (Model Context Protocol)

An open standard that lets AI tools call external services through structured tool calls. Mistflow exposes its capabilities as MCP tools — your editor discovers them automatically.

Projects

Every app you build with Mistflow is a project. Projects have a name, a template, source code, deployment state, and a full history of what was built.

Provenance

Mistflow tracks which prompt created which feature. This means you (and your team) can always trace back to why something was built the way it was.

Templates

Pre-built starting points: SaaS starter, landing page, internal tool. Templates include a tech stack, project structure, and sensible defaults — but the AI customizes everything based on your description.

What Mistflow is NOT

• Not an LLM wrapper. No AI tokens, no API keys to manage. Your editor’s AI does the reasoning.
• Not a no-code builder. Mistflow generates real code you own and can modify.
• Not locked in. The code lives in your project. Connect GitHub and push it to your own repo at any time.