---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/app-review-analysis/use-cases/identify-feature-requests/copilot
---
# How to Identify Feature Requests with Copilot

Copilot brings review analysis directly into your development workflow, letting you extract user feedback insights without leaving your editor. Export structured sentiment data and feature request lists as JSON for integration with your existing analytics dashboards and project management tools. Copilot is ideal for building automated review monitoring into your post-release checklist and sprint retrospective process.

## Setup

{"mcpServers":{"toolrouter":{"command":"npx","args":["-y","toolrouter-mcp"]}}}

## Steps

1. Add ToolRouter to Copilot MCP config
2. In Copilot Chat: "Extract feature requests from my app reviews"
3. Copilot returns structured feature request data
4. Ask: "Create GitHub issues for the top 10 feature requests"
5. Integrate review feedback directly into your development workflow

## Example Prompt

```
Extract feature requests from my app reviews and format them as potential backlog items with user demand scores.
```

## Tips

- Copilot can help you turn extracted feature requests into actionable tickets
- Export data for integration with your project management tools
- Track which shipped features came from review feedback for ROI measurement
