BioMCP

BioMCP is a purpose‑built Model Context Protocol (MCP) server that equips AI assistants and agents with authoritative, up‑to‑date biomedical knowledge. By exposing a unified MCP interface to a curated collection of clinical, genomic, and regulatory data sources, BioMCP lets developers bypass the complexity of each individual API. Instead of writing custom adapters for PubMed, ClinicalTrials.gov, MyVariant.info, or OpenFDA, an AI assistant can issue a single natural‑language query and receive structured, vetted results. This solves the common problem of LLMs lacking domain‑specific depth and real‑time data access, enabling them to answer precise questions about trials, variants, or drug safety.

At its core, BioMCP offers a set of 24 specialized tools that mirror the workflow of biomedical researchers. The think tool is mandated as the first step in every task, encouraging a disciplined, multi‑step reasoning process. The search tool supports both free‑text and a unified query language that allows field‑specific filters across literature, trials, genes, diseases, and drugs. Additional tools expose curated variant annotations from MyVariant.info, gene data from MyGene.info, and disease ontologies from MyDisease.info. For clinical evidence, the server integrates with ClinicalTrials.gov, NCI’s Cancer Trials API, and Europe PMC, while regulatory safety data is available through OpenFDA. These capabilities let developers build assistants that can, for example, recommend personalized trial options or flag adverse drug events in real time.

Real‑world use cases span academic research, clinical decision support, and pharmaceutical R&D. A researcher can ask an AI assistant to “list all phase‑III trials targeting BRAF mutations in melanoma with prior vemurafenib exposure,” and receive a concise, filtered list. A clinician can query “What are the latest FDA safety alerts for drug X?” and get up‑to‑date adverse event summaries. A biotech company can integrate BioMCP into its pipeline to automatically annotate variant calls with pathogenicity scores and drug‑gene interactions. Because BioMCP adheres to MCPHub certification, developers can trust its implementation quality and the reliability of its data connectors.

Integration into AI workflows is straightforward: an MCP‑compatible client simply sends a JSON request specifying the desired tool, parameters, and any preceding thoughts. BioMCP returns structured results that can be fed back into the assistant’s prompt or used to trigger downstream actions. The server’s consistent interface means that developers can swap underlying data sources or add new ones without changing client logic, ensuring longevity and flexibility. Unique advantages include the enforced reasoning step, a powerful unified query language that spans multiple domains, and a comprehensive suite of pre‑built biomedical tools—all packaged under an open‑source MIT license for rapid adoption.