How to Use the Massive MCP in Vercel AI SDK

Q: Can I use Massive to track dividends in a Vercel AI SDK dashboard?

You can. Use the listdividends tool to pull historical cash payouts for any ticker. It feeds your dashboard with accurate, timestamped data.

Stream historical dividend data into your UI with the Vercel AI SDK. Build real-time financial dashboards without the loading spinners.

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Connect Massive MCP to Vercel AI SDK

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

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Real-time dividend streaming for Vercel AI SDK

The `list_dividends` tool delivers historical payout data directly into your edge-rendered interfaces. Your AI client pulls the numbers and renders them instantly as the response streams. Stop waiting for background jobs to finish. By connecting this MCP Server, your frontend displays distribution records the moment the model retrieves them.

Edge-compatible data retrieval

Massive runs on lightweight infrastructure that fits perfectly into your Vercel edge functions. You get precise ticker history without adding bulk to your deployment. Just install the MCP client and pass the tool definitions to `streamText`. It keeps your logic clean and your data flow fast.

Direct tool integration

You call `list_dividends` right from your TypeScript codebase. The SDK handles the transport, and your AI client manages the execution flow. It removes the need for custom API wrappers. You just point your application to the endpoint and start querying ticker records.

Setup guide

Set up Massive 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 Massive 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 Massive 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 Massive. 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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place for every integration

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

Common questions about Massive MCP in Vercel AI SDK

It performs by streaming raw data directly to your frontend components. Massive provides the `list_dividends` tool, and the Vercel AI SDK pipes the result into your UI state in real-time.

Yes. Every request requires an endpoint token, and the server operates in an isolated V8 sandbox. Your Vercel AI SDK connection stays private.

You can. Use the `list_dividends` tool to pull historical cash payouts for any ticker. It feeds your dashboard with accurate, timestamped data.

The server scales to meet your request volume. It handles the heavy lifting so your Vercel AI SDK agents stay responsive.

Massive treats your ticker queries as ephemeral requests. We don't store your history, and your Vercel AI SDK client acts as the sole gatekeeper for the retrieved data.

Use it with your favorite AI tools

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