Paper Search v2

Paper Search v2 is a research-focused MCP server that gives any AI agent direct, structured access to the world's major academic repositories — arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic Scholar, CrossRef, and IACR — without requiring separate API keys, scraping logic, or manual PDF hunting. Instead of asking an assistant to guess at citations or hallucinate abstracts, teams can wire this academic paper search MCP server directly into their agent stack and get verifiable, source-linked results across preprint servers, peer-reviewed journals, biomedical databases, and cryptography archives in a single call.

When hosted through BusinessMCP, Paper Search v2 becomes one tool among many inside a unified /api/mcp endpoint, so a single Bearer key (mcph_*) gives Claude, GPT, Gemini, or any model-agnostic agent the ability to search academic literature alongside your other connected tools, databases, and revenue systems — no per-tool credentials, no juggling separate MCP servers for research versus internal data. This matters for product, growth, and research teams who want an agent to cross-reference a competitor's technical whitepaper on arXiv, pull cited biomedical studies from PubMed for a content brief, or verify a cryptography claim against IACR's eprint archive, all inside the same session that also queries your CRM or ad-spend dashboard.

Common integration patterns include research assistants that draft literature reviews with proper citations pulled live from CrossRef and Semantic Scholar, content and SEO teams that need peer-reviewed sources to back scientific claims in long-form articles, and technical due-diligence workflows where an agent searches bioRxiv or medRxiv preprints to sanity-check a health-tech pitch before it reaches a human analyst. Because the server spans both general academic search (Google Scholar, Semantic Scholar) and domain-specific archives (bioRxiv/medRxiv for life sciences, IACR for cryptography), it works equally well for a marketing team fact-checking a blog post and an engineering team validating a novel algorithm against prior published work.

BusinessMCP layers this MCP server search tool on top of a business-intelligence dashboard, so every research query — what was searched, which papers were retrieved, how often the tool gets called — is visible alongside usage of your other connected systems, giving ops and leadership a single pane of glass instead of siloed API logs. Deploying Paper Search v2 through BusinessMCP means you connect it once, expose it to any AI agent capable of speaking the Model Context Protocol, and skip the overhead of standing up and maintaining eight separate scraper integrations or paid API relationships with each academic source. For teams that already treat AI agents as first-class researchers — summarizing papers, extracting methodology sections, or building citation graphs — this server turns