How to Use the Applied Epic MCP in Vercel AI SDK

Q: How do I connect Applied Epic to my Vercel AI SDK app?

Install @ai-sdk/mcp and initialize the client using the Vinkius endpoint URL. Pass the tools from mcpClient.tools() directly into streamText to allow your LLM to fetch real-time policy data.

Q: Can I stream Applied Epic policy files in Vercel AI SDK?

Yes, you can. Use listattachments to fetch file lists and render them directly in your React or Next.js components as the AI streams the response.

Stream Applied Epic policy details and client logs directly into your Vercel AI SDK frontend without loading spinners.

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Connect Applied Epic MCP to Vercel AI SDK

Create your Vinkius account to connect Applied Epic 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 Applied Epic with Vercel AI SDK

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Real-time policy lookups in Vercel AI SDK

The `get_policy` tool pulls specific policy terms and coverage limits directly from your Applied Epic database to your user interface. When an agent asks your app about a renewal, Vercel AI SDK streams the exact coverage lines back to the screen instantly. You also get the `list_lines` tool to break down complex policy lines like Workers Comp or General Liability on the fly. Users watch the policy details render item by item instead of staring at a blank screen waiting for a slow backend response.

Live activity tracking via MCP Server

This MCP Server exposes the `create_activity` tool to write new tasks and notes straight into your insurance log files. Your Vercel AI SDK application logs client calls and updates files without requiring manual data entry from your agents. Using `list_activities` lets your customer-facing interface show a live timeline of recent account updates. Because the SDK handles streaming chunks directly, your users see their updated activity history populate the UI in real time.

Instant client and attachment checks

The `get_client` tool retrieves specific insurance customer profiles to verify identities and contact information during active chat sessions. Your frontend app fetches this data on edge functions, keeping response times under 100 milliseconds for high-volume brokerages. By calling `list_attachments`, your client can check for missing files or signed PDFs associated with a policy. It maps these files directly to your UI components, ensuring brokers know exactly what documents are missing before they end a call.

Setup guide

Set up Applied Epic 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 Applied Epic 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 Applied Epic 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 Applied Epic. 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 Applied Epic MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and initialize the client using the Vinkius endpoint URL. Pass the tools from `mcpClient.tools()` directly into `streamText` to allow your LLM to fetch real-time policy data.

Yes, you can. Use `list_attachments` to fetch file lists and render them directly in your React or Next.js components as the AI streams the response.

The server runs on a hosted Vinkius V8 sandbox, making it compatible with Vercel edge functions. Your SDK client makes lightweight HTTP calls, avoiding cold starts.

Vinkius handles the underlying credentials. You configure the `authProvider` in your SDK setup to pass the single secure MCP endpoint token.

Your Applied Epic client records and policy files are protected by Vinkius's zero-trust sandboxing. No broker data or policy details are stored on the intermediate transport layer during SDK streams.

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