"Communicating with EHR systems like Epic using FHIR API" matching MCP connectors:
Matching Connector Tools:
290+ quality-scored API capabilities for AI agents across 27 countries via MCP.
AI compute infrastructure intelligence: facilities, supply chains, sovereign AI, export controls.
Real-time status for 75+ AI services (OpenAI, Anthropic, Cursor). No auth, CORS-enabled.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
Vantaj uptime monitoring via MCP - manage monitors, heartbeats, incidents, and status pages.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
Security gateway for AI agents: score tool calls, verify agent cards, enforce policy, audit.
Track cost, latency, and usage of every MCP tool call from any client (Claude, Cursor, Windsurf). Free 25K calls/month — open-source proxy, EU-hosted.
Live status, API pricing and rate limits for ChatGPT, Claude, Gemini, Cursor and 42+ AI tools.
AI-ready vendor incident status with public active incidents and plan-scoped history.
Cloudflare Workers MCP server: agent-trace-auditor
Cloudflare Workers MCP server: llm-output-quality-monitor
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
ThousandEyes MCP Server for network intelligence: outages, anomalies, alerts, events, and tests.
performance-review MCP — wraps StupidAPIs (requires X-API-Key)
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
Real-time web analytics for AI agents: query traffic, funnels, revenue, and manage your sites.