How to Use the Health Gorilla MCP in Vercel AI SDK

Q: How do I connect the Health Gorilla MCP Server to my Vercel AI SDK project?

First, install the necessary packages, then use createMCPClient and point it to your Vinkius endpoint URL. You can get the available tools by calling mcpClient.tools() and pass them directly into your generateText or streamText calls. Just remember to call mcpClient.close() to end the session.

Q: Can I build a real-time patient dashboard with Health Gorilla and the Vercel AI SDK?

Yes. Your agent can call listorders to get all current orders for a patient, then stream updates using getorderstatus. The SDK's streaming features are perfect for updating your UI live as a lab order's status changes from 'pending' to 'completed'.

Q: How does test ordering work with the Health Gorilla server and Vercel AI SDK?

Your agent calls the submitlaborder tool with the required patient, provider, and test information. The server immediately returns an order ID, which you can use with getorderstatus to start tracking the new order in your UI.

Build live clinical frontends that stream patient and lab data directly into your UI with the Vercel AI SDK.

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Connect Health Gorilla MCP to Vercel AI SDK

Create your Vinkius account to connect Health Gorilla to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Health Gorilla with Vercel AI SDK

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Find Patients and Providers in Real-Time

Stop forcing users to wait for loading spinners. When you connect this Health Gorilla MCP Server to your AI agent, you can build a UI where data appears as the user types. The agent uses `match_patient` to stream a list of potential matches into your React components, and `get_patient_demographics` fills in the rest of the form the moment a selection is made. This same principle applies to finding doctors. Your agent can power a live search box with `search_providers`, filtering by location or specialty on the fly. Clicking a provider's name triggers a call to `get_provider_details`, instantly populating their information without a full page reload. It makes your application feel connected and responsive, not sluggish.

Stream Order Status Directly to Your UI

Users shouldn't have to hit refresh to see if their lab results are ready. Use your Vercel AI SDK agent to call `list_orders` and populate a patient's dashboard. When they click on a specific order, the agent uses `get_order_status` to fetch the very latest update. Because the Vercel AI SDK streams tool output, you can design components that update field-by-field as data arrives from the MCP server. You can show the 'received' status immediately, then have it flip to 'in_progress' a moment later as that part of the API response streams in. This gives your users a truly live view of the process.

Build Interactive Diagnostic Data Reviews

Give clinicians an interface that helps them, instead of getting in their way. Your agent can use `search_lab_tests` to power a search bar that suggests tests and displays turnaround times as the doctor types their query. After an order is completed, your agent can call `get_lab_results` and stream the structured data directly into a chart or formatted report in your Next.js app. It can also use `list_patient_results` to pull a patient's entire history, letting you render a trendline for a specific value over time. Your frontend stays clean while the agent handles the clinical data fetching.

Setup guide

Set up Health Gorilla MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Health Gorilla tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Health Gorilla transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Health Gorilla. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Health Gorilla MCP in Vercel AI SDK

First, install the necessary packages, then use `createMCPClient` and point it to your Vinkius endpoint URL. You can get the available tools by calling `mcpClient.tools()` and pass them directly into your `generateText` or `streamText` calls. Just remember to call `mcpClient.close()` to end the session.

Yes. Your agent can call `list_orders` to get all current orders for a patient, then stream updates using `get_order_status`. The SDK's streaming features are perfect for updating your UI live as a lab order's status changes from 'pending' to 'completed'.

Your agent calls the `submit_lab_order` tool with the required patient, provider, and test information. The server immediately returns an order ID, which you can use with `get_order_status` to start tracking the new order in your UI.

Absolutely. You can hook up your UI's search bar to an agent that uses the `search_providers` tool. It lets you filter by specialty and location to find the right doctor, then pull their complete details with `get_provider_details`.

Your agent sends and receives patient demographics and lab order information through the server. Vinkius runs each MCP server in a zero-trust, ephemeral sandbox. This means your data is only held in memory for the duration of the request and is never stored by us.

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