Generate TypeScript clients for frontend applications to call backend API endpoints, enabling integration with scheduling systems for managing users, availability, and bookings.
Find relevant documentation for development tasks by analyzing your code files and work context, supporting categories like frontend, backend, and database work.
Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.
Provides tools for frontend testing including code analysis, test generation, test execution, and React component testing for Jest and Cypress frameworks.
A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.