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by mikhailbahdashych • Uncategorized
An AI-powered research assistant that searches, synthesizes, and manages academic papers using MCP with local LLM inference.
Search and retrieve academic papers and metadata from sources like arXiv and Semantic Scholar.
Manage and semantically search research notes and organize research projects.
Manage, format, and export academic citations and bibliographies.
MCP Academic Researcher is a full-stack application that integrates an Angular frontend, a NestJS API gateway, and a Python orchestrator to provide a seamless research assistant experience. It leverages the Model Context Protocol (MCP) to manage subprocesses for papers, notes, and citations, and uses a local Ollama LLM for inference. The system supports searching academic databases like arXiv and Semantic Scholar, managing notes and citations, and streaming responses for interactive user queries.