One binary. One grammar. Evidence from the biomedical sources you already trust.
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.
- 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.
curl -fsSL https://biomcp.org/install.sh | bashuv tool install biomcp-cli
# or: pip install biomcp-cliThis installs the biomcp binary on your PATH.
Install BioMCP from the Anthropic Directory in Claude Desktop when that path is available for your environment. For local/manual setups, use the JSON MCP config below.
Install guided investigation workflows into your agent directory:
biomcp skill install ~/.claude --force{
"mcpServers": {
"biomcp": {
"command": "biomcp",
"args": ["serve"]
}
}
}For shared or remote deployments:
biomcp serve-http --host 127.0.0.1 --port 8080Remote clients connect to http://127.0.0.1:8080/mcp. Probe routes are
GET /health, GET /readyz, and GET /.
Runnable demo:
uv run --script examples/streamable-http/streamable_http_client.pySee Remote HTTP Server for the newcomer guide.
make install
"$HOME/.local/bin/biomcp" --versionFirst useful query in under 30 seconds:
uv tool install biomcp-cli
biomcp health --apis-only
biomcp list gene
biomcp search all --gene BRAF --disease melanoma # unified cross-entity discovery
biomcp get gene BRAF pathways hpasearch <entity> [filters] โ discovery
discover <query> โ concept resolution before entity selection
get <entity> <id> [sections] โ focused detail
<entity> <helper> <id> โ cross-entity pivots
enrich <GENE1,GENE2,...> โ gene-set enrichment
batch <entity> <id1,id2,...> โ parallel gets
search all [slot filters] โ counts-first cross-entity orientation
| Entity | Upstream providers used by BioMCP | Example |
|---|---|---|
| gene | MyGene.info, UniProt, Reactome, QuickGO, STRING, GTEx, Human Protein Atlas, DGIdb, ClinGen, NIH Reporter, DisGeNET | biomcp get gene BRAF pathways hpa |
| variant | MyVariant.info, ClinVar, gnomAD fields via MyVariant, CIViC, Cancer Genome Interpreter, OncoKB, cBioPortal, GWAS Catalog, AlphaGenome | biomcp get variant "BRAF V600E" clinvar |
| article | PubMed, PubTator3, Europe PMC, PMC OA, NCBI ID Converter, Semantic Scholar (optional auth; S2_API_KEY recommended) |
biomcp search article -g BRAF --limit 5 |
| trial | ClinicalTrials.gov API v2, NCI CTS API | biomcp search trial -c melanoma -s recruiting |
| diagnostic | NCBI Genetic Testing Registry local bulk bundle + WHO Prequalified IVD local CSV | biomcp get diagnostic GTR000006692.3 regulatory |
| drug | MyChem.info, EMA local batch, WHO Prequalification local exports, ChEMBL, OpenTargets, Drugs@FDA, OpenFDA, CIViC | biomcp get drug trastuzumab regulatory --region who |
| disease | MyDisease.info, Monarch Initiative, MONDO, OpenTargets, Reactome, CIViC, SEER Explorer, NIH Reporter, DisGeNET | biomcp get disease "Lynch syndrome" genes |
| pathway | Reactome, KEGG, WikiPathways, g:Profiler, Enrichr-backed enrichment sections | biomcp get pathway hsa05200 genes |
| protein | UniProt, InterPro, STRING, ComplexPortal, PDB, AlphaFold | biomcp get protein P15056 complexes |
| adverse-event | OpenFDA FAERS, CDC WONDER VAERS, MAUDE, Recalls | biomcp search adverse-event --drug pembrolizumab |
| pgx | CPIC, PharmGKB | biomcp get pgx CYP2D6 recommendations |
| gwas | GWAS Catalog | biomcp search gwas --trait "type 2 diabetes" |
| phenotype | Monarch Initiative (HPO semantic similarity) | biomcp search phenotype "HP:0001250" |
Pivot between related entities without rebuilding filters.
See the cross-entity pivot guide for when to use a helper versus a fresh search.
biomcp variant trials "BRAF V600E" --limit 5
biomcp variant articles "BRAF V600E"
biomcp drug adverse-events pembrolizumab
biomcp drug trials pembrolizumab
biomcp disease trials melanoma
biomcp disease drugs melanoma
biomcp disease articles "Lynch syndrome"
biomcp gene trials BRAF
biomcp gene drugs BRAF
biomcp gene articles BRCA1
biomcp gene pathways BRAF
biomcp pathway drugs R-HSA-5673001
biomcp pathway drugs hsa05200
biomcp pathway articles R-HSA-5673001
biomcp pathway trials R-HSA-5673001
biomcp protein structures P15056
biomcp article entities 22663011
biomcp article citations 22663011 --limit 3
biomcp article references 22663011 --limit 3
biomcp article recommendations 22663011 --limit 3biomcp enrich BRAF,KRAS,NRAS --limit 10Top-level biomcp enrich uses g:Profiler. Gene enrichment sections inside
other entity views still reference Enrichr where that is the backing
source.
Every get command supports selectable sections for focused output:
biomcp get gene BRAF # summary card
biomcp get gene BRAF pathways # add pathway section
biomcp get gene BRCA1 diagnostics # diagnostic-test pivot from GTR
biomcp get gene BRAF hpa # protein tissue expression + localization
biomcp get gene BRAF civic interactions # multiple sections
biomcp get gene BRAF all # standard sections; diagnostics/funding stay opt-in
biomcp get variant "BRAF V600E" clinvar population conservation
biomcp get article 22663011 tldr
biomcp get drug pembrolizumab label targets civic approvals
biomcp get drug trastuzumab regulatory --region who
biomcp get disease "Lynch syndrome" genes phenotypes variants
biomcp get disease tuberculosis diagnostics
biomcp get diagnostic GTR000006692.3 regulatory
biomcp get trial NCT02576665 eligibility locations outcomesIn JSON mode, get responses expose _meta.next_commands for the next likely
follow-ups and _meta.section_sources for section-level provenance. batch ... --json returns per-entity objects with the same metadata shape.
Most commands work without credentials. Optional keys improve rate limits or unlock optional enrichments:
export NCBI_API_KEY="..." # PubTator, PubMed/efetch, PMC OA, NCBI ID converter
export S2_API_KEY="..." # Optional Semantic Scholar auth; dedicated quota at 1 req/sec
export OPENFDA_API_KEY="..." # OpenFDA rate limits
export NCI_API_KEY="..." # NCI CTS trial search (--source nci)
export class="pl-s">"..." # OncoKB variant helper
export ALPHAGENOME_API_KEY="..." # AlphaGenome variant effect predictionsearch article, get article, article batch, get article ... tldr, and
the explicit Semantic Scholar helpers all work without S2_API_KEY. With the
key, BioMCP sends authenticated requests and uses a dedicated rate limit at
1 req/sec. Without it, BioMCP uses the shared unauthenticated pool at 1 req/2sec.
search article --source supports all, pubtator, europepmc, and
pubmed. The
default compatible article federation uses PubTator3, Europe PMC, and PubMed,
while the S2 leg remains automatic rather than directly selectable. References
and recommendations can be empty for paywalled papers because of publisher
elision in Semantic Scholar upstream coverage.
The directory bundle exposes only the optional settings needed for the first reviewer-facing build:
| Claude Desktop field | Runtime env var | Purpose |
|---|---|---|
| OncoKB Token | ONCOKB_TOKEN |
Enables biomcp variant oncokb "<gene> <variant>" therapy and level evidence |
| DisGeNET API Key | DISGENET_API_KEY |
Enables scored DisGeNET sections on gene and disease lookups |
| Semantic Scholar API Key | S2_API_KEY |
Improves reliability for article TLDR, citation, reference, and recommendation helpers |
The first directory build exposes only those three optional settings. Advanced CLI-only env vars remain documented in API Keys for the general BioMCP CLI path.
User prompt: Give me a low-noise overview of BRAF in melanoma.
Expected tool call: biomcp search all --gene BRAF --disease melanoma --counts-only
Expected behavior: Returns a cross-entity counts summary that orients the next command instead of dumping long detail tables.
Expected output: Counts-first summary with suggested next commands for the highest-yield entity follow-ups.
User prompt: Summarize ClinVar significance and population frequency for BRAF V600E.
Expected tool call: biomcp get variant "BRAF V600E" clinvar population
Expected behavior: Retrieves the focused variant card, ClinVar section, and population-frequency data in one read-only call.
Expected output: Variant summary, ClinVar significance details, and gnomAD population frequencies.
User prompt: Show OncoKB therapy evidence for BRAF V600E.
Expected tool call: biomcp variant oncokb "BRAF V600E"
Expected behavior: Uses ONCOKB_TOKEN when configured and otherwise
returns helpful guidance about the missing credential.
Expected output: Therapy and level evidence when ONCOKB_TOKEN is set, or
a clear setup hint when it is not.
User prompt: Show scored DisGeNET associations for TP53.
Expected tool call: biomcp get gene TP53 disgenet
Expected behavior: Uses DISGENET_API_KEY to retrieve the scored
gene-disease association section.
Expected output: Ranked disease-association table with evidence counts and
scores when DISGENET_API_KEY is configured.
BioMCP does not add telemetry, analytics, or remote log upload. Review the full privacy statement at https://biomcp.org/policies/.
BioMCP rate limiting is process-local. For many concurrent workers, run one shared
Streamable HTTP biomcp serve-http endpoint so all workers share a single
limiter budget:
biomcp serve-http --host 0.0.0.0 --port 8080Remote clients should connect to http://<host>:8080/mcp. Lightweight process
probes are available at GET /health, GET /readyz, and GET /.
BioMCP ships an embedded agent guide instead of a browsable in-binary catalog.
Use biomcp skill to read the embedded BioMCP guide, then install it into
your agent directory when you want local copies of the workflow references:
biomcp skill
biomcp skill install ~/.claude --forceSee Skills for supported install targets, installed files, and legacy compatibility notes.
study is BioMCP's local analysis family for downloaded cBioPortal-style datasets.
The 13 remote entity commands query upstream APIs for discovery and detail; study
commands work on local datasets when you need per-study query, cohort, survival,
comparison, or co-occurrence workflows.
Use study download to fetch a dataset into your local study root. Set
BIOMCP_STUDY_DIR when you want an explicit dataset location for reproducible
scripts and demos; if it is unset, BioMCP falls back to its default study root.
export BIOMCP_STUDY_DIR="$HOME/.local/share/biomcp/studies"
biomcp study download msk_impact_2017
biomcp study query --study msk_impact_2017 --gene TP53 --type mutations --chart bar --theme dark --palette wong -o docs/blog/images/tp53-mutation-bar.svgSee the CLI reference
for the full study command family and dataset prerequisites.
biomcp version # show version and build info
biomcp health # inspect API connectivity plus local EMA/cache readiness
biomcp update # self-update to latest release
biomcp update --check # check for updates without installing
biomcp uninstall # remove biomcp from ~/.local/bin- GitHub issues: https://github.com/genomoncology/biomcp/issues
- Troubleshooting: docs/troubleshooting.md
- Full documentation: https://biomcp.org/
- Getting Started
- Search All Workflow
- BioASQ Benchmark
- Cross-Entity Pivot Guide
- Privacy Policy
- Source Licensing and Terms
- Data Sources
- Quick Reference
- Troubleshooting
If you use BioMCP in research, cite it via CITATION.cff.
GitHub also exposes Cite this repository in the repository sidebar when that file is present.
BioMCP is MIT-licensed. It performs on-demand queries against upstream providers instead of vendoring or mirroring their datasets, but upstream terms govern reuse of retrieved results.
Some providers are fully open, some BioMCP features require registration or API keys, and some queryable sources still impose notable reuse limits. The two biggest cautions are KEGG, which distinguishes academic and non-academic use, and COSMIC, which BioMCP keeps indirect-only because its licensing model is incompatible with a direct open integration.
Use Source Licensing and Terms for the per-source breakdown and API Keys for setup steps and registration links.
MIT