What they built

ScholarPilot: An AI Research Operating System Powered by MCP From Research to paper drafting

ScholarPilot is an AI-powered Research Operating System built using NitroStack and the Model Context Protocol (MCP). It transforms fragmented academic research into a seamless, end-to-end workflow by coordinating specialized AI agents throughout the research lifecycle. Starting from a research topic, ScholarPilot discovers and ranks relevant literature, extracts key claims, identifies research gaps, performs adversarial reviews to challenge weak ideas, evaluates research resilience, assists with writing, verifies citations and technical accuracy, preserves research memory, and exports manuscripts to Overleaf. Unlike conventional AI writing assistants, ScholarPilot functions as a collaborative AI research committee, where multiple specialized agents analyze, critique, and refine research before publication. This results in higher-quality, evidence-backed, and more reliable academic outputs while significantly reducing the time required for literature review and manuscript preparation. Built with NitroStack and MCP, ScholarPilot demonstrates how interoperable AI agents can revolutionize academic research by making the entire research process faster, smarter, and more trustworthy.