One binary. One grammar. Evidence from the biomedical sources you already trust.
BioMCP is one CLI binary over a single command grammar that reaches ~30 trusted biomedical sources (PubMed, ClinVar, ClinicalTrials.gov, OncoKB, Reactome, and more). It is also an MCP (Model Context Protocol) server, so the same tools are available to AI agents such as Claude Code, Codex, and Claude Desktop.
BioMCP cuts through the usual biomedical data maze: one query reaches the sources that normally live behind different APIs, identifiers, and search habits. Researchers, clinicians, and agents use the same command grammar to search, focus, and pivot without rebuilding the workflow for each source. You get compact, evidence-oriented results across live public data plus local study analytics.
- Search the literature:
search articlefans out across PubTator3 and Europe PMC, deduplicates PMID/PMCID/DOI identifiers, and can add a Semantic Scholar leg when your filters support it. - Pivot without rework: move from a gene, variant, drug, disease, pathway, protein, or article straight into the next built-in view instead of rebuilding filters by hand.
- Choose a playbook:
biomcp skill listshows shipped worked examples so you can open the matchingbiomcp skill <slug>workflow. - Analyze studies locally:
studycommands cover local query, cohort, survival, compare, and co-occurrence workflows with native terminal, SVG, and PNG charts for downloaded cBioPortal-style datasets. - Follow the paper trail:
article citations,article references,article recommendations, andarticle entitiesturn one known paper into a broader evidence map. - Enrich and batch: use
biomcp enrichfor top-level g:Profiler enrichment andbiomcp batchfor up to 10 focusedgetcalls in one command.
First useful query in under 30 seconds:
uv tool install biomcp-cli
biomcp health --apis-only
biomcp skill list
biomcp list gene
biomcp search all --gene BRAF --disease melanoma # unified cross-entity discovery
biomcp get gene BRAF pathways hpa