Glossary
MCP Server (Model Context Protocol)
An MCP server is software that exposes a system (like a practice platform) to AI assistants like Claude and ChatGPT through the open Model Context Protocol, so the AI can query live data directly — no copy-paste.
Model Context Protocol (MCP) is an open standard introduced by Anthropic in late 2024 that defines how AI assistants connect to external tools and data. An MCP server is the connector for one specific system. When you point Claude or ChatGPT at your practice's MCP server, you can ask natural-language questions ("which patients have not been seen in 90 days?") and get answers against your real, live data — with authentication, scoped access, and full audit logging.
Why practice owners should care
Ad-hoc reporting becomes conversational. Operational triage takes seconds instead of menu-navigation. Content drafting can pull real numbers from the practice instead of placeholder text. And you stop being locked into whatever in-app AI your platform vendor happens to ship — you pick the AI assistant you like and connect it.
Practical examples
"Summarize last week's no-show patterns by provider." "List the top 10 highest-lifetime-value patients who have not booked in 6+ months." "Draft a newsletter section about our most-booked service this month with real numbers." All against live data, conversationally.
HIPAA caveats
MCP is plumbing — it does not make AI usage HIPAA-compliant by itself. The AI client must be running under a BAA (Claude for Work, ChatGPT Enterprise with healthcare BAA, not free tiers). The MCP server itself must enforce authentication, scope what each user can see, and log every request.
How it works under the hood
The AI client sends an MCP request to the server with an auth token. The server validates, runs the query against the underlying system, and returns structured results that the AI then turns into natural-language output for the user. Every request is logged on the server side for audit.
Related reading
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