This one wires your AI agent to academic paper data from arXiv, Google Scholar, and OpenAlex in a single query. You get seven tools: search_papers by keyword or author, get_paper_details with abstracts and citation counts, find_related_papers via co-citation graphs, get_author_profile with h-index, citation_trends over time, get_grant_data from NIH RePORTER, and subject_trends by field. It returns structured JSON tuned for LLM function calls, so you skip rate limit juggling across separate APIs. Runs on Apify's infrastructure at roughly $0.003 per tool call. Reach for it when you're building lit review copilots, research assistants that need to rank papers by recency and citations, or grant discovery agents that match lab output to funding calls.
Public tool metadata for what this MCP can expose to an agent.
search_arxivSearch the arXiv preprint repository for peer-reviewed academic papers in physics, mathematics, computer science, and related fields. Returns paper title, author list, abstract, publication date, PDF link, and category classification. Use for cutting-edge research, literature...2 paramsSearch the arXiv preprint repository for peer-reviewed academic papers in physics, mathematics, computer science, and related fields. Returns paper title, author list, abstract, publication date, PDF link, and category classification. Use for cutting-edge research, literature...
querystringmax_resultsintegersearch_google_scholarQuery Google Scholar for academic papers, citations, and research articles across all disciplines. Returns paper title, authors, publication venue, citation count, abstract preview, and full-text link if available. Use for comprehensive literature searches, citation tracking,...2 paramsQuery Google Scholar for academic papers, citations, and research articles across all disciplines. Returns paper title, authors, publication venue, citation count, abstract preview, and full-text link if available. Use for comprehensive literature searches, citation tracking,...
querystringmax_resultsinteger