Zero-config AI context for any project

Your AI knows your project.
In 3 steps.

Restacked generates structured context for your project and serves it to Claude, Cursor, or any MCP client. One URL. Every project.

Works with Claude, Cursor, Windsurf, and any MCP client

Three steps. That's it.

No dashboard. No sign-up. Just context that works.

Step 01

Add one URL

Add Restacked to your AI client's MCP config. Works with Claude Desktop, Cursor, and more.

mcp-config.json
{
  "mcpServers": {
    "restacked": {
      "url": "https://mcp.restacked.ai"
    }
  }
}
Step 02

Say the magic words

Type "make it so" in your AI client. Restacked will guide you through a few questions about your project.

Step 03

Start building

Your AI now has full project context. It knows your stack, architecture, and goals. No more repeating yourself.

AI
Context loaded. I see you're building a Next.js app with Supabase auth. Your INTENT file says we're working on the dashboard. Let me read the architecture first...

Why Restacked?

Stop repeating yourself. Let your AI actually know your project.

Your AI remembers everything

No more context loss between sessions. Your AI knows your architecture, stack, and goals from the start.

One URL for every project

No per-project config. Just add one URL to your AI client and Restacked handles the rest.

GitHub is your source of truth

Context lives in your repo as markdown files. No lock-in, no vendor dependency. You own your context.

Self-improving context

As your project evolves, your AI proposes updates to context files. Accept with one click.

How it works

Structured context your AI can actually use.

The three-layer context model

1
llms.txt
The entry point. Your AI reads this first to understand the project structure.
2
Stable context
STACK.md, ARCHITECTURE.md, DOMAIN.md - files that define your project's foundation. Updated occasionally.
3
Intent files
INTENT-BUILD.md, INTENT-AUTH.md - task-specific context. Regenerated for each new task.

The bootstrap flow

You say"make it so"
Restacked asksWhat are you building? Who is it for? What stack?
AI researchesClaude analyzes your answers and existing code
Files generatedllms.txt, STACK.md, ARCHITECTURE.md, DOMAIN.md, INTENT.md
CommittedAll files auto-commit to your GitHub repo
ReadyYour AI now has full project context