"A tool for file search and web searching" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Helena Bioinformatics MCP for clinical variant interpretation, ACMG/AMP evidence and literature.
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.
Search GBIF species taxonomy, occurrence records, datasets, and publishers.
Look up genes, sequences, variants, homologs, and cross-database xrefs from Ensembl REST.
Official answers about Helena Bioinformatics and its products, with citations to public sources.
Search and resolve Naturepedia, Robbie's Razor, and GC-MRD-v2.0 canonical resources.
Query STRING interactions, enrichment, annotations, homology, and PPI networks.
Canine genomics for agents: breed allele frequencies, AI pathogenicity + OMIA clinical disease layer
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.
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.
Biomedical data: compounds, drug info, and molecular targets
Chemical molecular intelligence platform covering compound search, structure analysis, physicochemical property retrieval, and molecular interaction profiling.
PatSnap Biology Modality MCP server — access biological sequences, modification records, and antibody-antigen interactions across 200M+ patents.
Search biomedical papers, inspect publication records, and traverse citation or semantic graphs.
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.
AI orchestration for computational chemistry and HPC workflows.
