How to Use the Captain Data MCP in Vercel AI SDK

Q: Can I stream long-running jobs using Captain Data and Vercel AI SDK?

Yes, you can track them in real time. Use getjobdetails within your streaming loop to update the user on the progress of background extractions.

Feed live enrichment data straight into your Next.js frontend with Captain Data and the Vercel AI SDK.

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…and any MCP-compatible client

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Connect Captain Data MCP to Vercel AI SDK

Create your Vinkius account to connect Captain Data 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 Captain Data with Vercel AI SDK

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Stream profile details live in Vercel AI SDK

Your users see raw data appear as it happens. When your UI triggers `enrich_person` or `enrich_company`, the Vercel AI SDK streams those raw fields straight to the browser. No spinners, no waiting for background jobs to finish. The client handles the incoming chunks as the Captain Data MCP Server pulls LinkedIn URLs or domain names. It renders the growing JSON payload directly inside your custom React components.

Run light-speed edge lookups

Edge functions need to stay fast and thin. By initializing the MCP client inside your Next.js middleware, you query `find_company` or `find_people` without spinning up a heavy backend container. This setup keeps your database out of the loop. The client directly queries Captain Data, returns the matches, and closes the connection instantly.

Show API limits directly to your users with the MCP Server

Keep users informed about their usage limits. You can call `get_api_quotas` right alongside your streaming chat interface to display remaining credits on the fly. This prevents surprise failures when running heavy workflows. The UI updates the remaining token count the second a search completes.

Setup guide

Set up Captain Data 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 Captain Data 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 Captain Data 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 Captain Data. 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 Captain Data MCP in Vercel AI SDK

You pass your endpoint token directly when creating the client. Use the authProvider option during the client setup to manage your API keys securely on the edge.

Yes, you can track them in real time. Use `get_job_details` within your streaming loop to update the user on the progress of background extractions.

The SDK processes responses as they arrive. If you hit a limit, you can check `get_api_quotas` to handle the pause gracefully in your UI.

Always call the close method on your client instance. This frees up edge resources immediately after running `list_workflows` or other queries.

Your profile searches and company details remain private. Vinkius runs the server in a zero-trust sandbox, meaning your API tokens and enriched data never touch external logs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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