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AI and MCP for clinics

ChatGPT or Claude, connected to your clinic tools, with a person in charge.

For practices that want staff to ask plain questions like "which of tomorrow's intakes are incomplete?" and get an answer from their own systems. MCP is the open standard that lets AI assistants use your tools safely. Answers go to your staff, not patients.

Talk about your project

The problem

Staff spend hours looking things up across scheduling, intake and billing tools. General AI chat can't see any of it, and copying patient data into a chat window is the wrong answer. MCP connects the assistant to your tools through a small server you control, with clear limits on what it can read and do.

What we build

  • An MCP server for your tools. A small server that gives ChatGPT or Claude read access, or limited actions, in your scheduling and intake systems.
  • Staff questions. Plain-language questions about today's schedule, missing forms or follow-ups, answered from your own data.
  • Drafts, not decisions. The assistant drafts messages, notes or schedule changes; a person approves every action.
  • Limits and logs. What it can see and do is set per role, and every request is logged.

What drives the cost

We fix the price after a scoping call. A first version is usually small. What moves it:

  • How many tools to connect. One scheduling system is smaller than scheduling, intake and billing together.
  • Read-only or actions. Answering questions is simpler than making changes, which need approval steps.
  • Your tools' APIs. A documented API is quicker to connect than one that needs exports.
  • AI service setup. Using an AI plan that will sign the agreements HIPAA requires, and keeping keys on the server.

The price and timeline are fixed in writing after a short scoping call, before any work starts.

How long it takes

We start with one useful question your staff ask every day, show it working, then add more.

  1. Pick the first questions. The lookups your staff do most, and the data they need.
  2. Working demo. A demo on sample data, so you can see it answer before anything touches real records.
  3. Connect and limit. Connect your real tools with the agreed limits, logs and approvals.
  4. Roll out and review. A few staff use it first; we review the logs and adjust.

HIPAA and patient data

The MCP server runs where you control it, keys stay on the server, and the AI service is one that will sign the agreements HIPAA requires. Access is limited by role, every request is logged, and a person approves every action. Demos use sample data, never real records. Your organization stays responsible for compliance.

Proof

Talha has worked on US healthcare software built to HIPAA requirements at PsychPlus, and builds AI features where the server, not the phone or browser, talks to the AI provider.

Case study: PsychPlus
Web and mobile work by Talha Manzoor as a Senior Software Engineer with the PsychPlus team, not an HTH client project. The product, brand and data belong to PsychPlus. Screens use sample data.

Questions

What is MCP?

The Model Context Protocol is an open standard that lets AI assistants such as ChatGPT and Claude use tools through a server you control, with limits on what they can read and do.

Does the AI talk to patients?

No. Answers go to your staff, and a person approves every action.

Can we see it working first?

Yes. We can build a one-day demo on sample data for one of your daily questions, at no cost.

Which AI does it use?

ChatGPT or Claude, on a plan that will sign the agreements HIPAA requires. Your keys and data stay on your server.

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