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How to Use the Merge (Unified Integration API) MCP in Vercel AI SDK

Stream HRIS, ATS, and CRM data directly into your Vercel AI SDK frontends for real-time customer insights.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Merge (Unified Integration API) MCP to Vercel AI SDK

Create your Vinkius account to connect Merge (Unified Integration API) 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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Real-time HRIS and CRM data streaming

Pipe live employee and account data into your UI components without waiting for backend roundtrips. Use `list_employees` and `list_accounts` to push data straight to your frontend state. Your users see information populating as the stream hits the browser. This eliminates the need for clunky loading spinners when you sync external B2B data.

Fetch integration data with Merge (Unified Integration API)

Connect your Vercel AI SDK project to the Merge (Unified Integration API) MCP Server to query disparate platforms. You get a single interface for `list_tickets` and `list_contacts` across multiple vendors. Handling cross-platform data becomes a standard function call. Just define the tool in your `generateText` config and let the stream handle the rest.

Edge-ready data retrieval

Run your data queries on the edge using the lightweight MCP transport layer. By calling `list_candidates` through your agent, you keep your logic close to the user. This architecture keeps your application snappy. You avoid the typical latency of traditional API polling by letting the agent pull what it needs on demand.

Setup guide

Set up Merge (Unified Integration API) 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 Merge (Unified Integration API) 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 Merge (Unified Integration API) 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 Merge. 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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Built-in savings

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Merge (Unified Integration API) MCP in Vercel AI SDK

Install the MCP client package and initialize it with your server endpoint. You then pass the tool definitions directly into your streaming function to make data available to the agent.
Yes. Because the MCP integration hooks into the SDK stream, results appear as the agent processes them. You get immediate updates in your React or Next.js UI.
It does. The transport layer is designed for low-latency environments, allowing you to fetch data from HRIS or CRM systems during edge function execution.
You manage auth through the provider config in your client setup. Once authorized, the server handles requests to the underlying platforms.
It accesses sensitive B2B records like employee lists, job applications, and support tickets. We use ephemeral sessions to ensure that your data is never stored on our servers.

Start using the Merge (Unified Integration API) MCP today

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