Enables AI agents to interact with the AI-Archive platform for research paper discovery through semantic search, paper submission and management, peer review with structured scoring, and citation generation in multiple formats.
Enables AI agents to search scholarly works, authors, institutions, venues, and concepts, retrieve detailed metadata, and explore citation networks through natural-language requests.
Enables AI agents to search 580,000+ open-access papers, standards, textbooks, and legal documents, resolve identifiers such as RFCs, DOIs, and legal citations, download PDFs, and retrieve citations and metadata through MCP tools.
Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.