Massive Connector for AI agents.
1 live capability
Pull historical stock dividend data and payout records for equity research.
Waiting for input…
Why people use Massive
Massive for Stock Dividend Analysis
With this Connector, you just tell your agent what you need. You can ask for every cash distribution for a specific stock over the last decade and get it back instantly. You get a clean list of dates, amounts, and types without ever opening a new tab.
What Vinkius changes
You get clean, structured dividend data in your chat window without leaving your workspace.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking yield growth
An analyst asks for the last 10 years of dividends for a ticker to see how the payout has increased over time.
- Real-world use case 02
Finding special dividends
An investor wants to know if a company ever paid a one-time special distribution in the past to check for anomalies.
- Real-world use case 03
Building a portfolio model
A user asks for all quarterly dividends for a specific stock to calculate a projected annual yield for a spreadsheet.
Complete set · 1capability
The complete Massive capability set.
These are the exact actions your AI can choose when you ask it to work with Massive.
01
1 capability in this set.
Part of 1 available through Massive.
- 01 Capability
List dividends
Get historical cash dividends for a specific ticker. This capability pulls the full payout history so you can see every distribution a company has made.
Set up in minutes
One URL. Then ask Massive to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Massive from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_rc42LBCIrmjKNzjGUWLP0bo1E4V4wqqMNFxfT1kD/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Massive, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Massive for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_rc42LBCIrmjKNzjGUWLP0bo1E4V4wqqMNFxfT1kD/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Massive URL.
- Step 03
Save and start
Save the connection and enable Massive in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"massive": {
"url": "https://edge.vinkius.com/vk_preview_rc42LBCIrmjKNzjGUWLP0bo1E4V4wqqMNFxfT1kD/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Massive
Open Agent mode in chat and ask: "Using Massive, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"massive": {
"url": "https://edge.vinkius.com/vk_preview_rc42LBCIrmjKNzjGUWLP0bo1E4V4wqqMNFxfT1kD/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Massive
Ask Copilot: "Using Massive, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"massive": {
"url": "https://edge.vinkius.com/vk_preview_rc42LBCIrmjKNzjGUWLP0bo1E4V4wqqMNFxfT1kD/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Massive
Open Cascade and ask: "Using Massive, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"massive": {
"url": "https://edge.vinkius.com/vk_preview_rc42LBCIrmjKNzjGUWLP0bo1E4V4wqqMNFxfT1kD/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Massive
Ask Cline: "Using Massive, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add massive --transport http "https://edge.vinkius.com/vk_preview_rc42LBCIrmjKNzjGUWLP0bo1E4V4wqqMNFxfT1kD/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Massive
Ask Claude: "Using Massive, show me...". 1 tools are ready
Where the request belongs
Work Massive can move forward.
The financial analyst who spends hours manually compiling payout histories for yield calculations. The retail investor trying to track dividend growth without a paid terminal. The developer building a custom trading bot that needs reliable historical payout data.
Equity Research Analyst
Pulls payout histories to calculate dividend growth rates and yield trends for client reports.
Portfolio Manager
Checks upcoming or historical ex-dividend dates to manage portfolio timing and cash flow.
Fintech Developer
Integrates reliable distribution data into a trading bot without building a custom scraper.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsEODHD Financial
Access real-time and historical stock market data. prices, fundamentals, dividends, splits and more for global exchanges.
Alpha Vantage
Access real-time and historical stock market data, financial statements, and economic indicators directly from your AI agent.
SEC EDGAR Financials — Revenue, Income, Assets, EPS & Industry Comparison
Extract XBRL financial data from SEC filings: revenue, net income, total assets, liabilities, stockholders' equity, EPS, and cash for any U.S. public company. Compare financial metrics across all companies industry-wide using XBRL frames. Like a free mini-Bloomberg terminal.
SEC EDGAR Full — The Ultimate Free Bloomberg Alternative for AI Agents
The definitive SEC EDGAR Mega-Server: 13 capabilities spanning company lookup (8,000+ tickers), all filing types (10-K, 10-Q, 8-K), insider trading (Form 4), XBRL financial data extraction (revenue, income, assets, EPS), industry-wide comparison frames, and full-text search across every document .
SEC XBRL (Financial Reporting)
Access real-time SEC EDGAR financial data. query filing histories, company facts, and XBRL disclosures directly from any AI agent.
SEC EDGAR
Official US corporate filings database. access 10-K, 10-Q, and financial data via AI.
Bring your own AI
Change the model, client or framework. Keep Massive connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Massive.
The practical details behind the request, access and result.
Can Massive MCP find special one-time dividends?
Yes, it identifies distributions flagged as special, supplemental, or irregular. This helps you see if a payout was a one-off event or part of a regular schedule.
How many dividend records can I pull at once?
You can pull up to 5000 records in a single query. This is plenty for looking at a long history of payouts for a single ticker or several smaller ones.
Does Massive MCP provide real-time stock prices?
No, this Connector focuses on historical dividend data and distribution records. You'll need a different capability for live price tracking.
Can I filter dividends by how often they are paid?
Yes, you can filter by frequency, such as quarterly or annual payments. This makes it easy to see only the regular payouts you're tracking.
Is the data from Massive MCP accurate for research?
It pulls directly from the Massive API, which is a standard source for financial distribution records. It's designed for use in equity research and financial modeling.
Can I filter dividends by a specific date?
Yes. You can use the ex_dividend_date parameter in the list_dividends capability to find distributions occurring on or after a specific YYYY-MM-DD date.
What types of dividend distributions can I identify?
The list_dividends capability 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 capability returns 100 results, but you can increase the limit parameter up to a maximum of 5000 records per query.
One connection away
Give your agent a direct line to Massive.
Connect Massive once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available