academica-mcp

Building AI agents that reason over scientific, healthcare, or financial data is straightforward until the first hallucinated citation reaches production. Academica MCP closes that gap by exposing eight read-only Model Context Protocol servers that wire your agent directly to primary evidence: PubMed biomedical literature, clinical trial protocols, CMS Open Payments, healthcare provider records, SEC ownership and filing fundamentals, provider-market intelligence, and reimbursement data. Every record that comes back carries stable identifiers such as PMID, NCT ID, and NPI, so you can trace a conclusion straight to the source document.

The eight servers are independent and composable. Mount just PubMed for a literature-review pipeline, or layer SEC filings on top of reimbursement evidence to build a cross-domain compliance workflow. All tools are read-only by design, no tool can mutate upstream records, and credentials are user-issued and revocable, keeping the security boundary tight.

Whether you are a PhD student assembling an evidence-based medical QA system, a sell-side analyst automating 10-K digestion, or a health-IT engineer wiring up a regulatory-review pipeline, Academica MCP turns your agent from a confident reciter of model memory into a system that cites auditable, source-resolvable evidence.