Carebridge Server

v1.0.0

A powerful MCP server built with NitroStack

Connection Setup

Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server): 

{
  "mcpServers": {
    // your other mcp servers
    "carebridge-server": {
      "url": "https://sassy-coders-6a6c7c0d-sassy-coders-srmist.app.nitrocloud.ai/mcp"
    }
  }
}

Connect remote tools directly via Claude's Web UI:

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Configure custom tools directly via ChatGPT's Web UI:

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Add the following configuration block under mcpServers in your Antigravity configuration file (~/.gemini/config/mcp_config.json): 

{
  "mcpServers": {
    // your other mcp servers
    "carebridge-server": {
      "serverUrl": "https://sassy-coders-6a6c7c0d-sassy-coders-srmist.app.nitrocloud.ai/mcp"
    }
  }
}

Add the following configuration block to your Codex configuration file (~/.codex/config.toml): 

[mcp_servers.carebridge-server]
url = "https://sassy-coders-6a6c7c0d-sassy-coders-srmist.app.nitrocloud.ai/mcp"

Connect directly using the Server-Sent Events endpoint: 

https://sassy-coders-6a6c7c0d-sassy-coders-srmist.app.nitrocloud.ai/mcp
Available Tools
analyze_baseline

Compares current health data with the patient's baseline vitals and detects significant changes in sleep, heart rate, activity, and meals.

search_clinical_knowledge

Performs semantic vector and keyword search over medical clinical guidelines, SNOMED-CT triage rules, and evidence-backed protocols stored in MongoDB Atlas.

check_red_flags

Screens user reported symptoms against deterministic medical red-flag safety rules to identify emergency or urgent conditions. This is a deterministic check — the LLM cannot override results.

start_triage

Initiates adaptive triage conversation flow and evaluates urgency category with escalation factors.

get_patient_context

Retrieves patient profile, baseline vitals, recent weekly health state, medical history, and timeline events dynamically by patientId.

analyze_health_history

Analyzes longitudinal lab trends (e.g., 6-month Hemoglobin decline) and connects current symptoms with historical medical context for a patient.

generate_health_timeline

Generates a rich visual health timeline combining longitudinal lab results, guardian vitals events, and today's symptom report.

generate_doctor_brief

Generates a complete, presentation-ready clinician handoff brief including chief complaint, baseline changes, lab trends, medications, and recommended actions.

export_fhir_bundle

Exports raw HL7 FHIR R4 JSON Bundle for a given patient ID, enabling EHR interoperability.

seed_mongodb_database

Triggers seeding or verification of MongoDB Atlas collections (patients, observations, clinical guidelines).

orchestrate_carebridge

Runs the full CAREBRIDGE AI intelligence pipeline from a single user message. Chains: Guardian baseline analysis → patient context → health history intelligence → triage follow-up questions → deterministic red-flag check → urgency classification. Use this when a patient reports a health concern to trigger the complete care navigation workflow.