· Founder ·
Integrations Workflow

Fixing Client Bugs Directly Inside Cursor

How to use our MCP server to pull network logs, app state, and DOM trees straight into your editor.

Context switching slows debugging down. A typical bug-fixing workflow often looks like this:

  1. Receive a Slack notification.
  2. Open Jira and wait for it to load.
  3. Read the client’s description (“button broke”).
  4. Open the live app and try to reproduce it.
  5. Open browser dev tools and hunt for network errors.
  6. Open your editor (Cursor, Windsurf, VS Code) to fix the issue.

At FeedbackFalcon, we wanted to cut out steps 1 through 5.

The agent-ready workflow

By connecting FeedbackFalcon to your IDE via our Model Context Protocol (MCP) server, the bug report details come directly to you. Here’s how it works:

The client clicks the FeedbackFalcon widget on your staging site and reports the issue. Behind the scenes, we capture the DOM, network logs, and console errors.

In Cursor, you open the Chat panel and ask it to fix the checkout button.

Your AI agent calls our MCP server (get_task_context). It retrieves the network payload that failed and the semantic state of the crashing button.

The AI agent analyzes that data and writes the code diff to fix your local files.

It keeps you in the editor and cuts out the back-and-forth guessing game.