{
  "abstract": "Practitioners want to give AI agents direct access to biomedical databases and analyses, but today that means choosing between dependency-heavy skill packages, data-lookup-focused server tools, and closed vendor platforms. BioMCP-TS removes the choice: one open-source server that installs with a single pinned command and verifies its own setup. An agent working through BioMCP-TS can search and cross-reference 50+ bioinformatics, pharmaceutical, and patent databases (genes, variants, drugs, diseases, literature, clinical trials, patents, functional genomics, and structures) and, uniquely among open bioinformatics servers, run heavyweight analyses in-process as WebAssembly: Bioconductor differential expression and htslib genomics operations with no R installation, C toolchain, or containers on the host, plus read-only SQL over curated local databases. We demonstrate these strengths with seven practical cases spanning drug-target due diligence, translational intelligence, GWAS follow-up, dependency analysis, cohort genomics, and differential expression, ranging from a first federated lookup through target-disease landscapes to published-structure shortlists and reproducible RNA-seq results, each answered end-to-end within minutes. The server, recorded transcripts, and the full problem set are available at https://github.com/yeyuan98/biomcp-ts (npm: biomcp).",
  "abstract_shown": true,
  "affiliations": [
    "University of Michigan"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Y. Yuan"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2qt331pw16zm1.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.09.03.749120",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.09.03.749120v1.full",
  "id": "2qt331pw16zm1",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.09.03.749120v1",
  "language": null,
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "bioengineering"
    ],
    [
      "openalex",
      "1802|Scientific Computing and Data Management"
    ]
  ],
  "openalex": "W7212314279",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.09.03.749120v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-03",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/2qt331pw16zm1.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:15Z",
      "native_id": "10.64898/2026.09.03.749120",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.09.03.749120v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:bioengineering",
      "subfield": "systems-synthetic"
    }
  ],
  "title": "Democratizing Agentic Access to Bioinformatics and Biopharmaceutical Databases and Analyses with BioMCP-TS",
  "title_text": "Democratizing Agentic Access to Bioinformatics and Biopharmaceutical Databases and Analyses with BioMCP-TS",
  "type": "preprint",
  "updated_at": "2026-10-30T12:20:15Z",
  "url": "https://research.draconitic.com/paper/2qt331pw16zm1",
  "venue": "bioRxiv",
  "versions": []
}