"Manage Proxmox VMs to Create a Kubernetes Cluster and Deploy Apps Using GitOps with GitHub Actions" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Helena Bioinformatics MCP for clinical variant interpretation, ACMG/AMP evidence and literature.
Deterministic peptide reconstitution and dosing math, so assistants compute it instead of guessing.
PK serum simulation, reconstitution math and compound data for agents. Paid tools $0.01 via x402.
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 biomedical papers, inspect publication records, and traverse citation or semantic graphs.
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.
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.
KEGG REST MCP — Kyoto Encyclopedia of Genes and Genomes.
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.
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.
