AI-powered patient safety ai MCP server for agents. Supports check drug interactions, assess...
Patient MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. AI-powered patient safety ai MCP server for agents. Supports check drug interactions, assess...
Check drug interactions, validate dosages, assess patient risk, and generate safety alerts. Uses evidence-based reference data. Not a substitute for clinical judgement.
@smithery/cli on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Once Patient is connected, these are the calls the assistant has available:
Real — time AI safety monitoringMulti — agent governancePro — ** $99/mo — Full MCP suite + EU AI Act trackingEnterprise — ** $499/mo — Custom dev + SLA + Dedicated supportDomain — PurposeTier — PriceAmong the monitoring and observability options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Patient's toolset — Real, Multi, Pro and 3 more — is a fair guide to whether it matches your workflow. It is maintained by CSOAI-ORG; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Real | time AI safety monitoring |
| Multi | agent governance |
| Pro | ** $99/mo — Full MCP suite + EU AI Act tracking |
| Enterprise | ** $499/mo — Custom dev + SLA + Dedicated support |
| Domain | Purpose |
| Tier | Price |
{
"mcpServers": {
"patient-safety-ai": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.