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ClosedLoop AI VS Code logo VS Code

Product intelligence in the world's most popular editor

VS Code is where most developers spend their day. With MCP-compatible extensions and GitHub Copilot's tool integration, you can connect ClosedLoop AI directly to your VS Code workflow. Query customer insights, check feature priorities, and get product context — all without leaving the editor that 70% of developers already use.

Runs over the MCP. Live in minutes.

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

Capabilities

What your agent can do with product intelligence.

Capabilities unlocked when VS Code queries ClosedLoop AI over the MCP.

01

Copilot with Product Context

GitHub Copilot in VS Code can leverage MCP tools to access ClosedLoop AI. Ask Copilot what customers think about a feature, and it pulls real insight data — frequency, sentiment, revenue impact — right into the chat panel.

02

Extension-Based Insight Access

MCP-compatible VS Code extensions give you a sidebar view of product insights relevant to the code you are working on. See customer feedback about the module you are editing without switching windows.

03

Chat Participants for Product Data

VS Code's chat participant API lets ClosedLoop AI respond to natural language queries. Type a question about customer pain points and get structured insight data back in the editor's chat panel.

04

Task-Aware Development

When working on a GitHub issue or PR, VS Code can pull ClosedLoop AI context about the related feature area — enriching the development task with customer evidence that the ticket alone does not provide.

How the data flows

What you ask VS Code 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 VS Code.

What changes

What changes when your agent has product context.

01

Product intelligence accessible in the editor 70% of developers already use — zero adoption friction

02

GitHub Copilot enhanced with real customer insight data via MCP tool integration

03

Customer context available during code review, PR creation, and design discussions

04

Enterprise teams can roll out product intelligence access to every developer at once

05

Natural language queries about customer needs answered directly in the editor chat

06

Development decisions informed by insight data without switching tools or waiting for summaries

Setup

Connected in minutes, useful right away.

Connect the MCP

Add the ClosedLoop AI MCP in VS Code. 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 VS Code your customer truth.

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

Read-only over the MCP.