Automates literature review, research gap detection, and novelty evaluation for academic research, providing tools to search, summarize, find gaps, generate ideas, and evaluate novelty.
Enables to turn a research folder into a submission-ready academic paper, with stages for screening, venue selection, drafting, humanization, and final QA. Runs locally without uploading any data.
MCP server for academic writing and review of Brazilian undergraduate theses (TCC) following ABNT standards. Enables article search, PDF reading, citation management, assisted writing, review, validation, and PDF compilation.
Automates the full academic research pipeline from refining research questions to generating publication-ready reports, integrating with major AI clients.
Enables AI-powered academic research workflow from keyword search to hypothesis generation. Integrates multiple AI models to automatically search ArXiv papers, extract key information, and generate innovative research hypotheses for researchers.