This is a comprehensive full-stack research assistant designed to streamline academic workflows. Leveraging the Model Context Protocol (MCP), it integrates an Angular frontend, a NestJS API gateway, and a Python orchestrator that manages specialized MCP servers for handling papers, notes, citations, and file processing. The application also supports local Large Language Models (LLMs) via Ollama, providing powerful AI assistance for tasks such as contextual paper searching, organized note-taking, automated citation management, and efficient PDF processing, all within a unified research environment.
Key Features
010 GitHub stars
02Comprehensive notes management with text and rich media support
03Automated citation handling and bibliography generation
04Integrated paper search across academic databases
05Robust PDF processing and content extraction capabilities
06Local LLM integration via Ollama for AI-powered assistance
