A powerful MCP server built with NitroStack
Add via Cursor Settings UI (Settings > Features > MCP > Add New MCP Server):
{
"mcpServers": {
// your other mcp servers
"clinical-copilot-mcp": {
"url": "https://clinical-copilot-mcp-zero-latency-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
"clinical-copilot-mcp": {
"serverUrl": "https://clinical-copilot-mcp-zero-latency-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
}
}
}
Add the following configuration block to your Codex configuration file (~/.codex/config.toml):
[mcp_servers.clinical-copilot-mcp] url = "https://clinical-copilot-mcp-zero-latency-amrita-university-coimbatore.app.nitrocloud.ai/mcp"
Connect directly using the Server-Sent Events endpoint:
https://clinical-copilot-mcp-zero-latency-amrita-university-coimbatore.app.nitrocloud.ai/mcp
Authenticate a patient via MongoDB Atlas. Action "login" authenticates existing registered users (fails if unregistered). Action "register" creates a new user account & patient profile.
Uploads a patient PDF or Image medical report to Supabase Storage and records report metadata in MongoDB. Accepts a local file path (e.g. 04_Discharge_Summary.pdf), base64 string, or data URL.
Process an uploaded medical report: runs OCR, performs LLM extraction (Gemini with Grok fallback), updates MongoDB patient profile, and stores vector embeddings in Pinecone.
Generates and updates a patient's complete chronological medical timeline from all processed reports.
Searches live ClinicalTrials.gov API v2, compares patient medical profile using LLM eligibility reasoning (Gemini/Grok/RuleEngine), and returns top ranked trials.
Generates a professional Clinical Trial Referral PDF document with LLM reasoning (Gemini/Grok/Template), uploads to Supabase Storage, and logs metadata in MongoDB.