jessica
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Project Jessica integrates ElevenLabs Text-to-Speech capabilities with Cursor through the Model Context Protocol (MCP), featuring a FastAPI backend and a React frontend.
Project Jessica is a comprehensive solution that leverages ElevenLabs Text-to-Speech (TTS) capabilities, integrated with Cursor using the Model Context Protocol (MCP). The project is structured with a FastAPI backend service and a modern React frontend application, providing a seamless interface for users. It supports voice selection and management, ensuring a customizable TTS experience. The integration with MCP allows for efficient communication with Cursor, enhancing the overall functionality. The project also includes WebSocket real-time communication, ensuring instant updates and interactions. Code quality is maintained through pre-commit hooks, automatic formatting, and linting, ensuring a robust and maintainable codebase. The infrastructure is managed using Terraform, facilitating easy deployment and scaling.
Features
- Text-to-Speech conversion using ElevenLabs API
- Voice selection and management
- MCP integration for Cursor
- Modern React frontend interface
- WebSocket real-time communication