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Your AI editor writes code that customers actually want

Cursor is the AI-first code editor that developers use for intelligent code generation, editing, and refactoring. When you connect ClosedLoop AI as an MCP server, Cursor gains access to real product insights. Ask it about customer pain points, check feature request frequency, or let it pull context about what users need — all without leaving your editor.

Runs over the MCP. Live in minutes.

The integration Cursor AI Coding Tools
DirectionClosedLoop AI → Cursor
AccessMCP
SyncReal-time query
StatusActive

Capabilities

What your agent can do with product intelligence.

Capabilities unlocked when Cursor queries ClosedLoop AI over the MCP.

01

Customer-Aware Code Completion

When you ask Cursor to implement a feature, it can query ClosedLoop AI to understand what customers actually expect. The code it generates reflects real usage patterns and pain points, not assumptions from a vague ticket.

02

Inline Product Context

Working on a module? Ask Cursor chat what customers say about it. It pulls insights from ClosedLoop AI — complaints, requests, usage patterns — and presents them right in your editor as you code.

03

Impact-Driven Refactoring

Before refactoring, ask Cursor which parts of the codebase generate the most customer friction. ClosedLoop AI provides the insight data so you refactor what matters most to users.

04

Bug Fix Prioritization

Cursor can check customer impact before you dive into a fix. How many customers hit this bug? What is the revenue at stake? Is this a deal-breaker for enterprise accounts? Real data, right in your editor.

How the data flows

What you ask Cursor becomes a grounded answer.

Every question runs against your real customer evidence, live.

Your question while you build Grounded in real customer evidence
What to build, and why Ranked by the revenue behind it
The customer's own words Attached to the accounts that said it

Answered over the MCP. ClosedLoop AI reads your product truth; your code stays in Cursor.

What changes

What changes when your agent has product context.

01

Code generated with real customer context — features built to match actual user needs

02

Bug fixes prioritized by customer impact and revenue data directly in the editor

03

Product insights available during code review to validate implementations against real feedback

04

Refactoring efforts directed at the code paths that cause the most customer friction

05

Sprint work informed by customer intelligence without context-switching to other tools

06

Every developer on the team has direct access to product insights while they code

Setup

Connected in minutes, useful right away.

Connect the MCP

Add the ClosedLoop AI MCP in Cursor. One config, read-only.

Authenticate

Sign in once. Your agent can now query your product intelligence.

Ask

While you build, ask what customers actually need, grounded in real evidence.

Ship the right thing

Write the feature customers asked for, not just the ticket.

Give Cursor your customer truth.

Connect ClosedLoop AI over the MCP and build with real customer evidence in context.

Read-only over the MCP.