Vercel AI SDKSDK

Massive MCP Server

Bring Dividends
to Vercel AI SDK

Name: Massive MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Massive to Vercel AI SDK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

List Dividends

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

What is the 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.

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.

How it works

Subscribe to this server
Enter your Massive API Key
Start querying financial data from Claude, Cursor, or any MCP-compatible client

Who is this for?

Financial Analysts — quickly retrieve payout histories to calculate yields and dividend growth rates.
Investors — check upcoming or historical ex-dividend dates to manage portfolio timing.
Developers — integrate reliable financial distribution data into trading bots or research tools without complex scraping.

Built-in capabilities (1)

list_dividends

Retrieve historical cash dividends for a ticker

Why Vercel AI SDK?

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.

—
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
—
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Massive integration everywhere
—
Built-in streaming UI primitives let you display Massive tool results progressively in React, Svelte, or Vue components
—
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

Massive in Vercel AI SDK

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Massive and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Massive to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Vercel AI SDK →

Enterprise Security

Why teams choose Vinkius for Massive in Vercel AI SDK

The Massive 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. All 1 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Massive details →

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

The Vinkius Advantage

How Vinkius secures
Massive for Vercel AI SDK

Every tool call from Vercel AI SDK to the Massive MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

Can I filter dividends by a specific date?

Yes. You can use the ex_dividend_date parameter in the list_dividends tool to find distributions occurring on or after a specific YYYY-MM-DD date.

What types of dividend distributions can I identify?

The list_dividends tool supports filtering by distribution_type, including 'recurring', 'special', 'supplemental', 'irregular', and 'unknown'.

How many dividend records can I retrieve at once?

By default, the list_dividends tool returns 100 results, but you can increase the limit parameter up to a maximum of 5000 records per query.

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.