Family Medcare Ecosystem
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
"family-medcare-ecosystem": {
"url": "https://family-medcare-6a656c12-command4-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
"family-medcare-ecosystem": {
"serverUrl": "https://family-medcare-6a656c12-command4-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
}
}
}
Add the following configuration block to your Codex configuration file (~/.codex/config.toml):
[mcp_servers.family-medcare-ecosystem] url = "https://family-medcare-6a656c12-command4-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
Connect directly using the Server-Sent Events endpoint:
https://family-medcare-6a656c12-command4-amrita-university-coimbatore.app.nitrocloud.ai/mcp
Cross-references a medication against a patient's genetic markers and active prescriptions to identify gene-drug conflicts, drug-drug interactions, and safety risks. Returns a structured safety report.
Fetches official FDA drug label information for a given drug name, including warnings, contraindications, boxed warnings, and drug interaction text from the openFDA Drug Label API.
Software registry verification of a medication's authenticity via the openFDA NDC directory, recall enforcement database, and internal counterfeit batch registry. Returns a structured authenticity report with status and confidence level. Note: This is a software registry check only — not a physical or image-based inspection.
Parses structured lab report text into a timeline of health entries. Accepts pre-structured lab text (e.g., copy-pasted from a PDF report) and extracts test name, value, unit, reference range, date, and status. Intentionally simple mock parser — no real OCR/NLP required.
Persists lab results into a patient's health memory (recent_lab_results). Accepts a patient ID and an array of lab entries to store. Updates the patient profile JSON, appending new results and replacing existing entries for the same test+date combination. Use this after extract_health_data to save parsed lab results.
Generates a quick-glance critical care summary for a patient — optimized for emergency responders and first-time caregivers. Aggregates blood type, critical allergies, life-threatening conditions, active medications, genetic risk alerts, and primary emergency contacts from the patient profile.
Issues a JWT session token for the Secure Data Gateway. In production this would sit behind a real login/OAuth flow — provided here so the gateway tools below are callable end-to-end.
Runs pharmacogenomics + drug-interaction analysis through the full Secure Data Gateway pipeline (auth, RBAC, rate limiting, data-minimized AI Gateway routing, audit logging). Requires a session_token from secure_issue_session_token.