Customer feedback inside Windsurf — build with real user context without leaving your IDE.
You're in Windsurf, working through a tricky refactor on the search feature. You're about to simplify the filtering logic, but you have a nagging feeling that customers actually use those advanced filters. Checking would mean leaving your editor, finding the right dashboard, searching for feedback about search filters, and hoping you can piece together whether this change will make people happy or angry. With Pilea's MCP server connected to Windsurf, you just ask. "Do customers use advanced search filters?" and your AI assistant pulls the answer from Pilea — real feedback, sentiment data, which customers mentioned it, and whether it's tied to any revenue. You make the call with data, not gut feeling, and you never leave your editor. This isn't a sidebar widget or a notification system. You're giving Windsurf's AI assistant the ability to query your customer feedback whenever it's relevant. It works in the natural flow of how you already use the AI — while coding, while planning, while reviewing. Building the right thing is just as important as building it well. This integration makes sure you're always one question away from knowing what customers actually want.
Querying Pilea from Windsurf gives you customer context on demand. Insight agents make sure you don't miss things between queries:
