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How to Use the HealthCare.gov MCP in Vercel AI SDK

Build live Marketplace enrollment tools in React. Vercel AI SDK streams health plan data directly into your frontend without loading spinners.

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Connect HealthCare.gov MCP to Vercel AI SDK

Create your Vinkius account to connect HealthCare.gov 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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Stream HealthCare.gov MCP Server data to the UI

The `search_plans` tool passes household and geographic JSON directly to the Marketplace API. Your Vercel AI SDK client streams the matching health and dental plans straight into your Next.js frontend. Users watch the options appear in real-time. You don't build backend resolvers. You call `mcpClient.tools()` and pass the array to `streamText`. The agent handles the API pagination and maps the raw government data into your React components.

Live drug and provider network checks

The `get_drug_coverage` and `get_provider_coverage` tools verify if a specific medication or doctor is in-network for a given plan. Your frontend triggers these checks the moment a user types a prescription name. Instead of making users open ten different tabs, your agent runs `search_drugs` and `search_providers` in the background. It returns a binary yes or no for coverage, letting you render a simple green checkmark next to the plan details.

Map geographic market variations

The `get_counties_by_zip` tool resolves user ZIP codes into exact County FIPS codes. This is mandatory because health insurance pricing changes across county lines. Your agent uses `list_market_states` and `list_issuers` to populate dropdowns with valid insurance carriers for that specific location. The UI stays fast because the agent only requests the exact county data it needs.

Setup guide

Set up HealthCare.gov 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 HealthCare.gov transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HealthCare.gov. 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 HealthCare.gov MCP in Vercel AI SDK

Install `@ai-sdk/mcp`. Initialize it using `createMCPClient` with the HTTP transport pointing to your Vinkius endpoint. Pass the resulting tools array into `generateText`.
Yes. When the agent calls `get_plan_details`, the Vercel AI SDK streams the raw JSON chunks to your client. Your UI renders the premium costs and deductibles as they arrive.
Vercel edge functions have strict execution limits. Keep your `search_plans` household criteria narrow so the upstream API responds before the function times out.
No. The MCP standard handles the tool execution. Your AI client decides if it needs to call the tool a second time based on the initial response payload.
The server processes household demographics and ZIP codes to fetch accurate pricing. Vinkius runs this MCP Server in an ephemeral V8 Isolate Sandbox. The sandbox destroys the memory state the moment the request finishes, leaving zero trace of the user's location or family size.

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