"Developing a Flutter application with embedded React Native" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Pharmacogenomics for AI agents: cited drug–gene, gene and rsID lookups plus a medication screen.
Official answers about Helena Bioinformatics and its products, with citations to public sources.
Ancestry allele frequencies, LoF constraint, variant lists, and coverage from gnomAD, with ClinVar.
g:Profiler (University of Tartu) — functional enrichment analysis for a gene list against GO…
GWAS Catalog (EBI/NHGRI) MCP — curated catalog of genome-wide association studies. Look up a SNP…
PubTator 3 MCP — biomedical entity search, literature search with entity
Annotate and classify human genetic variants with GeneBe (ACMG, gnomAD, ClinVar). Research use only.
Agent research API for 15 disease areas, plus a T1D cure lab, sourced evidence ledger and models.
A molecular biology bench for AI assistants: cloning and assembly, PCR and primer design, CRISPR, Sanger verification, qPCR and dPCR, alignment and phylogenetics, genomics, proteins and cheminformatics. Calculated by engines checked against the field's reference tools, with every result explained. No auth, stateless, free.
Cancer gene co-occurrence and exclusivity in tumour cohorts, with confound controls and exact tests.
BioBricks: the site's own MCP server — dataset, enquiry (enquiry = a human handoff, not a...
HLA nomenclature and match checks against a pinned IPD-IMGT/HLA release. No patient identifiers.
A unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.
Search public biomedical datasets, measured results, papers, trials and drug evidence with sources.
Fold proteins, co-fold ligands with binding affinity, design binders and embed sequences.
Serves the user's personal DNA wellness report to their AI: caffeine response, sleep timing, training, nutrient absorption. Built from a hand-checked evidence base (GWAS Catalog, PharmGKB); every finding states its effect size and links to its source paper. No disease risk scores. The raw DNA file is parsed in the user's browser and never uploaded.
