Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 4 min ago
PreprintCC BY-NCbioRxiv

Democratizing Agentic Access to Bioinformatics and Biopharmaceutical Databases and Analyses with BioMCP-TS

  1. 1University of Michigan

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).

Related

  1. Agentic Literature Extraction Augments Targeted Protein Degradation Databases
    Yaochen Rao, Farzaneh Jalalypour, N. M. Anoop Krishnan +1
    arXivPreprintCC BY 4.0Full textBioinformatics & computational biologyarXiv
  2. Geomosaic: a flexible bioinformatics platform integrating complementary metagenomic analyses from sequencing reads to genomes
    D. Corso, E. Taccaliti, B. Barosa +1
    bioRxivPreprintCC BYFull textBioinformatics & computational biologybioRxiv
  3. Identification of prognostic genes associated with innate lymphoid cells in cervical cancer through bioinformatics analyses and experimental assays
    Jinrui Sun, Yingying Xu, Kaining Guo +1
    Infectious Agents and CancerPeer-reviewedCC BY-NC-ND 4.0Full textImmunologyPMCDOAJ
  4. Democratizing three-dimensional surface phenotyping: an open structured-light platform reveals and removes the projection bias in biological imaging
    G. J. Gentsch, M. Guo, A. Platz +5
    bioRxivPreprintCC BYFull textSystems & synthetic biologybioRxiv
  5. Democratizing Clinical Tumor Whole Genome Sequencing: 18-hour End-to-end Analysis via Trillion-parameter Large Language Models Locally Deployed on Consumer-grade Hardware
    Rui Xiao, Yili Xu
    arXivPreprintarXiv licenceFull textGenetics & genomicsarXiv
BibTeX
@misc{yuan2026democratizing,
  title = {{Democratizing Agentic Access to Bioinformatics and Biopharmaceutical Databases and Analyses with BioMCP-TS}},
  author = {Y. Yuan},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.03.749120},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.03.749120v1},
  note = {CC BY-NC},
}
RIS
TY  - UNPB
TI  - Democratizing Agentic Access to Bioinformatics and Biopharmaceutical Databases and Analyses with BioMCP-TS
AU  - Y. Yuan
PY  - 2026
DA  - 2026/09/03
PB  - bioRxiv
DO  - 10.64898/2026.09.03.749120
UR  - https://www.biorxiv.org/content/10.64898/2026.09.03.749120v1
AB  - 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).
ER  -