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Massive MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to List Dividends

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Massive through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Massive MCP Server for Vercel AI SDK is a standout in the Data Analytics category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Massive, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Massive
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Massive MCP Server

Connect to Massive to retrieve comprehensive historical dividend data for thousands of tickers. Empower your AI agent to perform deep financial analysis and equity research through natural conversation.

The Vercel AI SDK gives every Massive tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Historical Dividends — Fetch full records of cash distributions for any supported stock ticker from the Massive API.
  • Granular Filtering — Filter results by ex-dividend date, frequency (annual, quarterly), or specific distribution types.
  • Distribution Types — Identify recurring, special, supplemental, or irregular dividends to understand company payout patterns.
  • Data Analysis — Sort and limit results (up to 5000 records) to build precise financial models or investment reports.

The Massive MCP Server exposes 1 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Massive tools available for Vercel AI SDK

When Vercel AI SDK connects to Massive through Vinkius, your AI agent gets direct access to every tool listed below — spanning dividends, stock-market, financial-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

list

List dividends on Massive

Retrieve historical cash dividends for a ticker

Connect Massive to Vercel AI SDK via MCP

Follow these steps to wire Massive into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 1 tools from Massive and passes them to the LLM

Why Use Vercel AI SDK with the Massive MCP Server

Vercel AI SDK provides unique advantages when paired with Massive through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Massive integration everywhere

03

Built-in streaming UI primitives let you display Massive tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Massive + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Massive MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Massive in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Massive tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Massive capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Massive through natural language queries

Example Prompts for Massive in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Massive immediately.

01

"List historical dividends for ticker 'AAPL'."

02

"Show me special dividends for 'MSFT' sorted by date."

03

"Find all dividends for 'KO' with a frequency of 4."

Troubleshooting Massive MCP Server with Vercel AI SDK

Common issues when connecting Massive to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Massive + Vercel AI SDK FAQ

Common questions about integrating Massive MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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