Connect your product brain to your coding assistant. Q feeds your product brief, scope boundaries, and architectural decisions directly into Cursor — so every AI-generated line of code aligns with what you're actually building.
Q offers multiple ways to share your product context. Here's what works with Cursor.
| Integration Method | Cursor |
|---|---|
Single File Export Export selected pages into one consolidated file for easy pasting into any AI tool. | |
Multiple Files Export Export selected pages as individual standalone files for structured project context. | |
MCP (Model Context Protocol) Live connection via MCP — AI tools can read, create, and update Q pages directly. | |
Cursor Rules Export Export product context formatted as Cursor's .mdc rules files for automatic AI guidance. | |
Skill.md Export Export an instructions file formatted for Claude's Agent Skills (SKILL.md). |
Write your product brief, set scope boundaries, capture decisions and learnings. Q structures your product intent so AI can understand it.
Add Q as an MCP server in Cursor. Your product context becomes available to the AI agent — no copy-pasting needed.
Cursor's AI reads your product brief, respects your scope boundaries, and generates code that matches your product vision — not just your prompt.
With Q connected, Cursor's AI agent understands your product intent. Here's what a typical workflow looks like:
# In Cursor, the AI agent can access your Q context:
> "Build the onboarding flow for new users"
# Cursor's AI reads from Q:
# ✓ Product brief: "Q is an AI-native PM tool for solo founders"
# ✓ Scope: "MVP — email auth only, no SSO"
# ✓ Decision: "Use server components for all public pages"
# Result: Code that matches your product vision,
# not just a generic onboarding implementation.No more re-explaining your product to the AI. Q feeds your brief, scope, and decisions directly into Cursor's context window.
Your AI agent knows what's in scope and what's not. No more over-engineering features you explicitly ruled out.
Architectural decisions captured in Q become constraints the AI follows — consistent tech choices across your entire codebase.
With product context always available, you spend less time writing detailed prompts and more time shipping.
Connect Q to Cursor and turn your product intent into code that actually matches your vision.