Pharma Guard Server
v1.0.0A powerful MCP server built with NitroStack
Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):
{
"mcpServers": {
// your other mcp servers
"pharma-guard-server": {
"url": "https://pharmaguard-6a651496-code-freaks-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
}
}
}
Connect remote tools directly via Claude's Web UI:
Configure custom tools directly via ChatGPT's Web UI:
Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json):
{
"mcpServers": {
// your other mcp servers
"pharma-guard-server": {
"serverUrl": "https://pharmaguard-6a651496-code-freaks-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
}
}
}
Add the following configuration block to your Codex configuration file (~/.codex/config.toml):
[mcp_servers.pharma-guard-server] url = "https://pharmaguard-6a651496-code-freaks-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
Connect directly using the Server-Sent Events endpoint:
https://pharmaguard-6a651496-code-freaks-amrita-university-coimbatore.app.nitrocloud.ai/mcp
Retrieves full clinical profile for a patient: demographics, lab results, allergies, diagnoses, current medications, and herbal remedies
Upload a patient record file (.txt, .csv, .pdf, .docx) or paste unstructured clinical text to extract a structured patient profile. The file is decoded, text is extracted, and Gemini LLM converts it into the same JSON format used by all PharmaGuard safety tools. The patient is stored in memory with an assigned ID for immediate use in safety checks. Supported formats: plain text, CSV, PDF (text-based), DOCX.
Uses LLM to parse a doctor's natural language prescription note into structured clinical entities (drug name, dosage, frequency, reason)
Checks for drug-drug interactions between the new prescription and all current medications. Uses OpenFDA API with hardcoded fallback for demo drugs.
Checks if the new drug conflicts with any documented patient allergies via cross-reactivity lookup
Checks if the new drug is contraindicated given the patient's diagnoses
Flags if drug dosing needs adjustment for pediatric (<18) or elderly (≥65) patients based on Beers Criteria guidelines
Flags if the drug dose needs adjustment based on kidney function (creatinine clearance). Uses CKD staging thresholds.
Checks the FDA pregnancy risk category for a drug. Categories: A (safe) → X (contraindicated).
Checks if the new drug is in the same therapeutic class as any existing medication using RxNorm API.
Finds safer alternative medications using RxNorm and ranks them by how many safety checks they pass against the patient's profile
Checks for dangerous interactions between the proposed Allopathic (Western) drug and any Ayurvedic/herbal remedies the patient is currently taking. Uses a 3-tier approach: (1) Local clinical database, (2) Live PubMed research search, (3) Gemini LLM analysis of medical literature. This covers interactions that standard APIs like OpenFDA do NOT track — critical for Indian patients who frequently combine Allopathic and Ayurvedic treatments.
Combines all individual safety check results into one overall risk assessment with a clear verdict (safe / caution / high_risk)
Generates a clear, concise clinical safety report for the doctor summarizing all findings, concerns, source citations, and the final recommendation. Renders a Risk Dashboard widget.