"How to work with Claude AI code or integrate it" 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.
Connect AI assistants to your personal health records, blood test results, and biomarker trends through a secure MCP server.
UniProt protein data: find proteins, map genes to proteins, function and disease links
Scientific plotting for bioinformatics with about 160 free modules. Anonymous access supported.
Search biomedical papers, inspect publication records, and traverse citation or semantic graphs.
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.
PubTator 3 MCP — biomedical entity search, literature search with entity highlighting, and…
Link compounds to protein targets, rank bioactivity, and look up drug mechanisms and indications.
145 tools: 106 deterministic engines (stats, survival, bioinfo, primers) + 39 AI writers.
Annotate and classify human genetic variants with GeneBe (ACMG, gnomAD, ClinVar). Research use only.
Find open biology and chemistry AI models, bioinformatics tools and databases, and run them online.
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.
Deterministic peptide reconstitution and dosing math, so assistants compute it instead of guessing.
Hosted DNA language models: promoter, splice, enhancer, chromatin, expression, annotation
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.
Biotech rNPV/PoS engine for AI agents. Signed exports, evidence register, asset landscape.
Biotech intelligence for AI agents: drugs, targets, diagnostics, PoS estimates, and writeups.
Canine genomics for agents: breed allele frequencies, AI pathogenicity + OMIA clinical disease layer
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.
Protein analysis: ESM-2/ESMC embeddings, mutation scoring, landscape scans, ESMFold structure.
AI orchestration for computational chemistry and HPC workflows.
