Precision Medicine MCP Platform: A set of bioinformatics servers + tools - production multiomics/genomics + spatial transcriptomics. Example and demo for ovarian cancer
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"precision-medicine-mcp": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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Dedicated to PatientOne -- a dear friend who passed from High-Grade Serous Ovarian Carcinoma in 2025.
No automated test available for this server. Check the GitHub README for setup instructions.
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Dedicated to PatientOne -- a dear friend who passed from High-Grade Serous Ovarian Carcinoma in 2025.
This platform automates multi-modal data processing for clinical decision support — all results require clinician review before any clinical action.
Standard oncology workup (BRCA1/2, HRD panel, tumor genomic panel) generates no immunotherapy or investigational hypotheses. For preventive health, standard lipid panels and population genetic screens miss key risk factors. Manual multi-modal analysis across genomics, spatial transcriptomics, and clinical data is clinically impractical -- the platform automates it.
+--------------------------------------+
| CLIENT LAYER |
| Claude Desktop / Hospital EHR |
| Adapter / Research Notebook |
+----------------+-----------------+
|
MCP (FastMCP >= 2.13)
|
+---------------------------------------------------------------+
| |
| PRE-PROCESSING (Stage 0) |
| deidentify |
| |
| DATA ACQUISITION ANALYSIS & INFERENCE REPORTING |
| |
| mockepic spatialtools patient- |
| epic multiomics report |
| geodownload perturbation |
| mocktcga quantum-fidelity |
| genomic-results opentargets |
| fgbio neoantigen |
| cibersortx |
| openimagedata |
| deepcell |
| cell-classify |
| cardiometabolic |
+---------------------------------------------------------------+
All tools accessible via natural language. Every AI result requires clinician APPROVE/REVISE/REJECT. HIPAA-compliant. 11 servers return per-tool XAI metadata (confidence levels, evidence grades, counterfactuals). Current server and tool counts: Server Registry.
The platform surfaces clinically actionable findings that standard workup cannot reach — 6 investigational hypotheses across 2 cancer types plus 3 preventive health evidence gaps, validated across three independent use cases:
| Use Case | Patient | Key Finding Missed by Standard Workup |
|---|---|---|
| HGSOC (Stage IV) | PAT001 | 3 investigational paths: neoantigen vaccine (RMPEAAPPV IC50 7.8 nM), NNMT/CAF inhibition, convergent checkpoint blockade |
| ER+ Breast Cancer | PAT002 | 3 investigational hypotheses: inavolisib over alpelisib (PIK3CA H1047R, 2024 FDA approval), MYC-driven triple therapy, YSAPLSSSL neoepitope vaccine + CAF depletion + anti-PD-1 — zero disease-specific code c |