biopharma-mcp
Related Servers
Alternatives to biopharma-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityNot gradedmaintenanceA production-grade MCP server that enables AI assistants to securely manage healthcare data through clinical tools for patient vitals, lab results, and medication ordering. It prioritizes security and compliance with features like HIPAA-ready audit logging, PII redaction, and role-based access control.-

teralynk-mcp-serverofficial
AlicenseAqualityBmaintenance102-tool MCP server for AI-native compliance. PII scanning, HIPAA/GDPR/PCI-DSS/SOX/CCPA automation, file intelligence, workflow execution, audit trails, security events, and team management.138 npmMIT- AlicenseAqualityCmaintenanceAn MCP server for longevity and metabolic medicine that provides a medication catalog, dosing protocols, contraindication screening, drug interaction checks, lab recommendations, and patient intake pathways across 35 compounds.935 npmMIT
- AlicenseNot gradedqualityDmaintenanceMCP server for clinical and pharmaceutical data, enabling search of ClinicalTrials.gov, PubMed, FDA, and ICH guidelines without API keys.19 npmMIT
- FlicenseNot gradedqualityBmaintenanceA governed MCP server with OAuth 2.1 + PKCE, declarative tool scoping, row-level data filters, per-identity rate limits, and a tamper-evident audit trail.-
- FlicenseNot gradedqualityDmaintenanceAn MCP server for clinical workflows with tools for patient lookup, appointment booking, prescriptions, drug interactions, symptom triage, lab results, insurance eligibility, and telehealth, enforcing role-based access control and audit logging.2-
TDQS
Scored across 10 tools
Each tool targets a distinct function: curve fitting, parallelism assessment, Z-factor calculation, plate parsing, entity resolution, outlier detection, LOD/LOQ, dilution normalization, data export, and audit logging. No two tools overlap in purpose, and descriptions clarify their unique roles.
All tool names follow a consistent verb_noun pattern in snake_case, such as calculate_4pl_curve, parse_large_plate_stream, and generate_gxp_audit_log. The naming is uniform and predictable, making it easy to infer tool behavior.
The server contains 10 tools, which is within the ideal 3-15 range for a well-scoped domain. Each tool covers a distinct aspect of biopharma data analysis and compliance without redundancy or bloat.
The tool surface covers the primary assay analysis workflow: input parsing, entity resolution, statistical analysis (curve fitting, parallelism, Z-factor, outliers, LOD/LOQ), normalization, and output/export with audit logging. Minor gaps exist, such as the absence of direct IC50 extraction or data visualization tools, but these are not critical to core functionality.