Academia
Integrates with ArXiv, ACL Anthology, Semantic Scholar, and Hugging Face datasets to enable scientific literature discovery, citat
Academia MCP is a research-focused server built by Ilya Gusev that provides comprehensive tools for scientific literature discovery, analysis, and reporting. It integrates with ArXiv, ACL Anthology, Semantic Scholar, Hugging Face datasets, and multiple web search providers (Exa, Brave, Tavily) to enable paper search, citation analysis, and reference tracking. The server includes LaTeX compilation capabilities, PDF processing, and optional LLM-powered features for document Q&A, paper review generation, and research proposal workflows using the "bitflip" methodology. It supports both HTTP and stdio transports with configurable tool availability based on API keys, making it useful for literature reviews, academic research workflows, citation analysis, and automated paper evaluation tasks.
Source
Repository: https://github.com/ilyagusev/academia_mcp
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