Search academic papers across ArXiv, PubMed, and Semantic Scholar using natural language queries with AI-powered relevance ranking and summarization.
GAIA connects to Paper Search (OpenAI) via MCP (Model Context Protocol) and exposes every action as a natural-language command. Tell GAIA what you want and it handles the rest, automatically.
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Set up your Paper Search (OpenAI) automation in three simple steps, no code required.
Connect the research engine
GAIA links to the Paper Search server at server.smithery.ai to access academic databases directly.
State your research goal
Simply ask GAIA to find papers on a specific subject or to summarize a particular study.
Receive proactive insights
GAIA searches the databases, ranks the most relevant results, and delivers a concise summary or a curated list of papers.
Everything you need to know about the GAIA Paper Search (OpenAI) integration.
Paper Search (OpenAI) is just one piece of the puzzle. GAIA integrates with the rest of your tools across education, communication, productivity, and more, letting you build cross-tool automations in plain English without writing a single line of code.
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