"How to find people on LinkedIn by their name" matching MCP connectors:

Protein research over UniProtKB — search by function, fetch curated records, map IDs, proteomes.

Look up allele frequencies by ancestry, gene constraint, variants, and coverage over gnomAD.

Link compounds to protein targets, rank bioactivity, and look up drug mechanisms and indications.

Official answers about Helena Bioinformatics and its products, with citations to public sources.

Look up genes, fetch sequences, predict variant consequences, find orthologs and xrefs via Ensembl.

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.

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.