Elicit

Elicit is an AI research assistant purpose-built to accelerate literature reviews, evidence synthesis, and academic research workflows. Instead of manually skimming hundreds of papers, researchers use Elicit to search academic databases, summarize findings, extract structured data points across studies, and surface relevant citations in a fraction of the time a manual review would take. For R&D teams, grad students, policy analysts, and any organization that leans on peer-reviewed evidence to make decisions, Elicit turns a sprawling literature review into a tractable, repeatable process.

What makes Elicit distinct from a generic search tool is its focus on extraction and synthesis rather than just retrieval. It can pull out study populations, methodologies, outcomes, and limitations from academic papers and organize them into comparable tables, which is exactly the kind of tedious work that used to eat up hours of a researcher's week. That makes it a natural fit for teams doing systematic reviews, meta-analyses, competitive scientific landscaping, or due diligence on emerging technologies where the underlying evidence lives in scholarly literature rather than the open web.

On BusinessMCP.com, Elicit becomes one connector inside your unified, hosted MCP server rather than another disconnected browser tab. Connect it once and it's exposed alongside your other tools, databases, and revenue data through a single /api/mcp endpoint secured with a Bearer mcph_* key. Any AI agent — Claude, GPT, Gemini, or an agentic coding tool — can call Elicit's research capabilities in the same session where it's also querying your CRM, ad platforms, or internal knowledge base, so a research question and a business question can be answered in one continuous agent workflow instead of stitching together outputs from separate apps.

This matters most for teams that want AI-assisted research to actually feed downstream decisions and reporting, not sit in isolation. Because BusinessMCP is model-agnostic, you're not locked into a single AI vendor to get value from Elicit — swap models as needs change while the underlying MCP connection and BI dashboard stay constant. The hosting layer is cookieless and GDPR-friendly by design, which matters for academic institutions, health-adjacent R&D groups, and enterprise research teams operating under strict data-handling requirements. Rather than each analyst running their own instance of a research assistant with no shared visibility, BusinessMCP's business-intelligence dashboard gives leadership a view into how research tools are being used across the organization, alongside every other connected system.

Teams often pair Elicit with complementary research and evidence-discovery agents inside the same hosted MCP server to build a fuller academic research stack — one tool for finding and extracting from papers, another for citation-graph exploration, another for broader web-scale question answering. Because everything routes through the same /api/mcp endpoint, an agent can chain these capabilities together automatically: search, extract, cross-reference, and summarize, all without manual copy-pasting between tools. For any organization treating literature review as an ongoing operational function rather than a one-off task, that unified access point is the difference between a novelty AI demo and a dependable research pipeline.