BioMCP · Biomedical MCP Server

One command grammar. 50+ biomedical databases. Zero learning curve.

Genes, variants, drugs, trials, papers, pathways, phenotypes — all through a single MCP endpoint.

BioMCP is a production-grade Model Context Protocol server that unifies PubMed, ClinicalTrials.gov, ClinVar, gnomAD, OncoKB, Reactome, KEGG, UniProt, PharmGKB, CPIC, OpenFDA, CDC VAERS, Monarch Initiative, GWAS Catalog, DisGeNET, AlphaGenome, cBioPortal, and 40+ other biomedical sources behind one consistent read-only API.

Quickstart

# Option A: Pull from Docker Hub (recommended)
docker pull jackgucci/biomcp:latest
docker compose up -d

# Option B: Build from source
git clone https://github.com/gucci10248/JEFFREY.git && cd JEFFREY
cp .env.example .env
bash build.sh
docker compose up -d

# Test
curl http://localhost:8080/health   # → {"status":"ok"}

Your MCP server is live at http://localhost:8080/mcp.

MCP Client Setup

Claude Desktop

{
  "mcpServers": {
    "biomcp": {
      "type": "streamableHttp",
      "url": "http://localhost:8080/mcp"
    }
  }
}

Hermes Agent

# ~/.hermes/config.yaml
mcp:
  servers:
    biomcp:
      type: streamableHttp
      url: http://localhost:8080/mcp
      enabled: true

Any SSE/Streamable HTTP Client

Endpoint: http://localhost:8080/mcp

Command Reference

Genes

Command	Example
`get gene <symbol>`	`get gene BRAF`
`get gene <symbol> diagnostics`	`get gene BRCA1 diagnostics`
`get gene <symbol> funding`	`get gene TP53 funding`
`search gene --region <chr:start-end>`	`search gene --region 7:140413127-140624564`
`gene pathways <symbol>`	`gene pathways EGFR`
`gene trials <symbol>`	`gene trials KRAS`
`gene articles <symbol>`	`gene articles PTEN`
`gene drugs <symbol>`	`gene drugs ALK`

Variants

Command	Example
`get variant "<name>"`	`get variant "BRAF V600E"`
`search variant --gene <symbol> --impact high`	`search variant --gene CFTR --impact high`
`variant trials <id>`	`variant trials "BRAF V600E"`
`variant articles <id>`	`variant articles "EGFR L858R"`

Drugs

Command	Example
`search drug --indication "<disease>"`	`search drug --indication hypertension`
`get drug <name>`	`get drug metformin`
`get drug <name> safety`	`get drug ibuprofen safety`
`get drug <name> regulatory --region eu`	`get drug rivaroxaban regulatory --region eu`
`drug interactions <name>`	`drug interactions warfarin`
`drug adverse-events <name>`	`drug adverse-events aspirin`
`drug trials <name>`	`drug trials pembrolizumab`

Diseases

Command	Example
`get disease <name>`	`get disease melanoma`
`get disease <name> funding`	`get disease tuberculosis funding`
`get disease <name> diagnostics`	`get disease HIV diagnostics`
`get disease <name> survival`	`get disease "breast cancer" survival`
`get disease <name> phenotypes`	`get disease "Parkinson disease" phenotypes`
`disease drugs <name>`	`disease drugs diabetes`
`disease trials <name>`	`disease trials "acute myeloid leukemia"`
`disease articles <name>`	`disease articles atherosclerosis`

Articles (PubMed, Europe PMC, LitSense2)

Command	Example
`search article -k "<query>" --type review`	`search article -k "CRISPR base editing" --type review`
`search article --gene <symbol> -k "<query>"`	`search article --gene APOE -k "Alzheimer risk"`
`search article --drug <name>`	`search article --drug metformin`
`get article <pmid>`	`get article 23193287`
`article citations <pmid>`	`article citations 23193287`
`article recommendations <pmid>`	`article recommendations 23193287`
`article entities <pmid>`	`article entities 23193287`

Clinical Trials

Command	Example
`search trial -c "<condition>"`	`search trial -c "type 2 diabetes"`
`search trial --gene <symbol>`	`search trial --gene BRAF`
`search trial --has-results`	`search trial -c melanoma --has-results`
`get trial <nct_id>`	`get trial NCT04280705`
`get trial <nct_id> locations`	`get trial NCT04280705 locations --limit 20`

Pathways & Enrichment

Command	Example
`search pathway "<name>"`	`search pathway "MAPK signaling"`
`get pathway <id>`	`get pathway hsa04010`
`pathway drugs <id>`	`pathway drugs hsa04151`
`enrich <gene list>`	`enrich TP53,EGFR,BRAF,KRAS`

Phenotypes

Command	Example
`search phenotype "<symptoms>"`	`search phenotype "seizure, developmental delay"`
`search phenotype "HP:... HP:..."`	`search phenotype "HP:0001250 HP:0001263"`

GWAS

Command	Example
`search gwas -g <gene>`	`search gwas -g APOE`
`search gwas --trait "<text>"`	`search gwas --trait "body mass index"`
`get gwas <id>`	`get gwas GCST90018969`

Cross-Entity Search

Command	Example
`search all --gene <symbol> --disease <name>`	`search all --gene BRAF --disease melanoma`
`discover "<free text>"`	`discover "chest pain"`
`suggest "<question>"`	`suggest "What drugs treat melanoma?"`

Protein & Structure

Command	Example
`get protein <accession>`	`get protein P00519`
`protein structures <accession>`	`protein structures P00519`

Pharmacogenomics

Command	Example
`get pgx <gene>`	`get pgx CYP2D6`
`search pgx --drug <name>`	`search pgx --drug clopidogrel`

Adverse Events

Command	Example
`search adverse-event --drug <name>`	`search adverse-event --drug metformin`
`search adverse-event --vaccine <name>`	`search adverse-event --vaccine "COVID-19 mRNA"`

Operations

Command	Example
`health`	Check API connectivity
`version`	Print server version
`batch <entity> <id1,id2,...>`	`batch gene BRAF,EGFR,TP53 --sections funding`

Data Sources

Source	Coverage
PubMed	36M+ biomedical citations
Europe PMC	Full-text, preprints, patents
ClinicalTrials.gov	500K+ registered trials
ClinVar	3M+ variant-disease annotations
gnomAD	Population allele frequencies
OncoKB	Cancer variant clinical actionability
OpenFDA	FDA drug/device adverse events
UniProt	Protein function & structure
KEGG	Metabolic & signaling pathways
Reactome	Curated pathway database
PharmGKB	Pharmacogenomics knowledge
CPIC	Clinical pharmacogenetics guidelines
Monarch Initiative	Cross-species phenotype ontology
GWAS Catalog	Genome-wide association studies
cBioPortal	Cancer genomics datasets
DDInter	Drug-drug interaction database
CDC VAERS	Vaccine adverse events
EMA	European Medicines Agency data
WHO Prequalification	Essential medicines quality
NCBI GTR	Genetic testing registry
AlphaGenome	Genomic variant predictions
DisGeNET	Gene-disease associations

Features

Read-only by design — no mutations to external data sources, safe for production
Single command grammar — one pattern for all entity types, no learning curve
Resilient — multi-source fallback, degraded responses with transparent source status
Non-root container — runs as unprivileged biomcp user
Read-only root filesystem — docker compose enforces read_only: true
Minimal attack surface — single static binary, zero runtime dependencies
Zero telemetry — no outbound calls except to public biomedical APIs
SHA256-verified binary — build.sh verifies checksum from GitHub Releases
Auto-updating data caches — EMA, WHO, GTR feeds auto-refresh on stale detection

Health & Monitoring

curl http://localhost:8080/health    # → {"status":"ok"} — API connectivity
curl http://localhost:8080/readyz    # → 200 — ready to serve traffic
curl http://localhost:8080/          # → Welcome page (HTML)

Requirements

Docker 24+ & Docker Compose v2
~200MB disk (image + data volumes)
Outbound internet access to public biomedical APIs
Optional: NCBI_API_KEY, S2_API_KEY, UNPAYWALL_EMAIL for higher rate limits

Contributing

See SECURITY.md for vulnerability reporting and CODEOWNERS for maintainer contacts.

License

Apache License 2.0 — see LICENSE.