How to Use the Clustdoc MCP in Vercel AI SDK

Pipe Clustdoc onboarding data straight into your Next.js frontend with Vercel AI SDK.

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Connect Clustdoc MCP to Vercel AI SDK

Create your Vinkius account to connect Clustdoc 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 Clustdoc with Vercel AI SDK

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Real-time Clustdoc intake in your UI

Feed live document status updates directly into your React components. Use `create_application` to trigger new intake requests that render instantly without a page refresh. Your users see their onboarding progress move in real-time as the SDK streams tool results. No more stale data or loading spinners blocking the view.

Manage Clustdoc applications via AI SDK

Call `list_applications` to pull your current intake queue into your application state. The SDK handles the data transfer so you can map documents to your custom dashboard layouts. Keep track of exactly who is stuck in the pipeline. You get the raw JSON back from the server, making it easy to filter clients based on their current submission status.

Query Clustdoc team and workflows

Check which team members are assigned to specific document reviews using `list_team_members`. You can expose this list in your admin panel to show users who handles their files. Run `list_workflows` to see which onboarding processes are active. This gives your frontend the context it needs to show the right forms to the right people.

Setup guide

Set up Clustdoc 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 Clustdoc 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 Clustdoc transactions",
});

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Clustdoc. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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

Single dashboard

One

place for every integration

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

Common questions about Clustdoc MCP in Vercel AI SDK

Install the MCP package and point the transport to your Vinkius endpoint. You then pass the tools into your generateText call to start fetching data.

Yes, you can map the tool outputs to UI actions. When the AI executes `create_application`, the SDK returns the result to your frontend for immediate display.

Vinkius handles the auth layer so your tokens stay hidden. Your application only receives the JSON payloads you explicitly request from the server.

It does. Because the server uses standard protocols, the SDK streams the tool invocation results back to your client as they arrive.

The server treats client names and document metadata as ephemeral transit data. It never persists your raw credentials, keeping your sensitive onboarding files isolated.

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