AI-powered annotations for localhost development. Create visual feedback on your apps and let AI coding agents automatically implement fixes via MCP integration. Benefits developers by speeding up debugging and reducing manual coding tasks.
git clone https://github.com/RaphaelRegnier/vibe-annotations.gitVibe Annotations is a Chrome browser extension that enables developers to visually annotate elements on localhost pages and share that feedback with AI coding agents like Claude Code and Cursor. The tool works by installing a browser extension, running a local server, and either copying annotations to your AI agent or connecting via MCP protocol for direct implementation. It solves the problem of manual back-and-forth communication between design feedback and code changes by letting AI agents read annotations and apply fixes automatically. Developers can annotate multiple pages, make direct design tweaks that persist, and collaborate with teammates through export and import features. The MCP integration allows seamless workflows where annotations trigger automated code updates without leaving your development environment.
Install the Vibe Annotations Chrome extension, then run `npx vibe-annotations-server init` to set up the server and configure your AI coding agent. Open a localhost page, click Annotate to mark elements, and either copy annotations to paste into your AI agent or use the MCP integration for automatic implementation. The server runs in the background and supports multiple pages and collaborative workflows.
Annotate UI elements and have AI agents automatically implement CSS or design fixes
Speed up debugging by marking issues visually and sharing them with Claude Code or Cursor
Collaborate with teammates by exporting and importing annotations across localhost pages
Make persistent design tweaks directly on running apps while developing
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/RaphaelRegnier/vibe-annotationsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I'm a developer working on a [COMPANY] app in the [INDUSTRY] sector. I need to add AI-powered annotations to my localhost development environment. Here's the [DATA] I'm working with: [INSERT DATA]. Please generate visual feedback annotations and suggest fixes that can be implemented via MCP integration.
# AI-Powered Annotations for [COMPANY] App
## Visual Feedback
- **Button Alignment Issue**: The 'Submit' button on the checkout page is misaligned with the form fields. Suggested fix: Adjust the CSS grid layout to ensure consistent spacing.
- **Loading Indicator**: The loading spinner during API calls is not visible. Suggested fix: Add a loading state indicator using the existing spinner component.
- **Mobile Responsiveness**: The navigation menu collapses incorrectly on mobile devices. Suggested fix: Implement a responsive navigation pattern using a hamburger menu.
## MCP Integration Fixes
```javascript
// Adjust CSS grid layout for 'Submit' button
.mcp-apply-css {
.checkout-form {
display: grid;
grid-template-columns: 1fr;
gap: 1rem;
}
}
// Add loading state indicator
.mcp-apply-js {
const apiCalls = document.querySelectorAll('.api-call');
apiCalls.forEach(call => {
call.addEventListener('click', () => {
const spinner = document.createElement('div');
spinner.className = 'spinner';
call.appendChild(spinner);
});
});
}
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