How to Use the Massive MCP in Windsurf

Pull historical dividend data for any stock, and let Windsurf's Cascade agent figure out what to do with it.

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Connect Massive MCP to Windsurf

Create your Vinkius account to connect Massive to Windsurf 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 Windsurf

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Get Raw Dividend Data

The `list_dividends` tool pulls a company's entire cash dividend history. You get payment dates, record dates, and the exact amounts paid per share. This isn't just a summary. Your agent receives the raw data structure, ready for the next step in a plan. Cascade can use this output to calculate yields, spot trends, or build a report—all without you prompting each step.

Automate Financial Analysis

Connect the Massive server and watch Cascade put it to work. Ask it to "Compare dividend growth for MSFT and AAPL over 5 years." Windsurf's agent sees the goal, finds the `list_dividends` tool, and calls it for both tickers. It then compares the results and gives you the answer. You state the outcome, Cascade handles the execution.

A Secure MCP Server for Finance

Stop wrestling with API keys and custom auth code for every data source. Vinkius handles the connection, security, and hosting for you. Once connected, the `list_dividends` tool is just another capability for Windsurf. It's sandboxed, ephemeral, and requires zero maintenance on your part. Your agent gets the data it needs, and you focus on the results.

Setup guide

Set up Massive MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Massive MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Massive payment history." If connected, Cascade will call the Massive tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "massive-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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.

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Common questions about Massive MCP in Windsurf

Use the built-in MCP Marketplace in Windsurf. Find the Massive server and click install. You can also add the server URL to your `mcp_config.json` and hit refresh in the MCP panel. Cascade discovers the new tools instantly.

Yes. That's exactly what it's for. Give Windsurf a goal like "Chart the dividend yield of X vs Y." Cascade will plan and execute the necessary calls to the `list_dividends` tool for both stocks and present the result.

It returns a structured list of dividend payments. Each entry contains the ex-dividend date, payment date, record date, and the cash amount per share. It's clean data, ready for analysis.

A normal API needs custom code, authentication, and error handling. With an MCP server, your agent already knows how to call the tool, what parameters it takes, and what the output looks like. You just tell it the goal.

Vinkius runs every MCP server in an ephemeral sandbox. When Windsurf calls Massive to get dividend data, the connection is direct and the server instance that handles your request is destroyed afterward. Your query history isn't the product.

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