Adds revolutionary features for MCP client identification and browser automation:
MCP Client Debug System:
- Floating pill toolbar with client identification and session info
- Theme system with 5 built-in themes (minimal, corporate, hacker, glass, high-contrast)
- Custom theme creation API with CSS variable overrides
- Cross-site validation ensuring toolbar persists across navigation
- Session-based injection with persistence across page loads
Voice Collaboration (Prototype):
- Web Speech API integration for conversational browser automation
- Bidirectional voice communication between AI and user
- Real-time voice guidance during automation tasks
- Documented architecture and future development roadmap
Code Injection Enhancements:
- Model collaboration API for notify, prompt, and inspector functions
- Auto-injection and persistence options
- Toolbar integration with code injection system
Documentation:
- Comprehensive technical achievement documentation
- Voice collaboration architecture and implementation guide
- Theme system integration documentation
- Tool annotation templates for consistency
This represents a major advancement in browser automation UX, enabling
unprecedented visibility and interaction patterns for MCP clients.
Add three new MCP tools for recording browser automation:
- browser_start_recording: Enable video recording with configurable size/filename
- browser_stop_recording: Stop recording and return video file paths
- browser_recording_status: Check recording status and configuration
Key features:
- Automatic video saving when pages/contexts close
- Configurable video size and output directory
- Enhanced LLM guidance with clear workflow instructions
- Integration with existing browser context management
Videos are saved as .webm files in {outputDir}/videos/ directory.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
