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Vinkius

Dividend Discount Model Connector for AI agents.

3 live capabilities

Determine the intrinsic equity value of stocks using professional DDM models.

Live agent request Dividend Discount Model / Connector

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AI Agent

Why people use Dividend Discount Model

Dividend Discount Model Stock Valuation for Equity Analysts

This Connector changes that by letting your agent handle the math. Just give it the core numbers, and it spits out the intrinsic value instantly. You get a clean, reliable valuation without the risk of broken formulas.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a data-backed valuation of a stock's worth without touching a calculator.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Checking if a high-yield stock is a trap

    A retail investor wants to know if a stock is actually a bargain.

  2. Real-world use case 02

    Quick CAPM check for tech stocks

    A hedge fund analyst needs a quick cost of equity for a stock with a specific beta.

  3. Real-world use case 03

    Portfolio-wide valuation gap analysis

    A portfolio manager reviews 10 stocks at once.

Complete set · 3capabilities

The complete Dividend Discount Model capability set.

These are the exact actions your AI can choose when you ask it to work with Dividend Discount Model.

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through Dividend Discount Model.

  1. 01 Capability

    Calculate intrinsic value

    Calculates the estimated fair market price of a stock based on projected dividend growth. This helps you see what a stock should be worth today.

  2. 02 Capability

    Estimate cost of equity

    Determines the required rate of return using the CAPM framework. This provides the discount rate needed for accurate valuation.

  3. 03 Capability

    Evaluate valuation gap

    Compares current market pricing against intrinsic value. Use this to quickly see if a stock is undervalued or overvalued.

Set up in minutes

One URL. Then ask Dividend Discount Model to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Dividend Discount Model from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_dzGJFefxHW2g2UQu3n6JjFAJnlPJ2Jmj6tJsz9Pj/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Dividend Discount Model, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Dividend Discount Model for the conversation.

Where the request belongs

Work Dividend Discount Model can move forward.

Built around the request

This is for equity analysts and retail investors who want to move past 'vibes' and use a math-based approach to stock valuation.

01

Equity Research Analyst

Runs multi-stage growth projections for portfolio reports on a Tuesday afternoon.

02

Retail Investor

Checks if a high-yield dividend stock is a bargain before hitting the buy button.

03

Financial Planner

Validates the fair price of stocks to ensure client portfolios aren't overpaying.

Bring your own AI

Change the model, client or framework. Keep Dividend Discount Model connected.

  • Claude
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Before you connect

Questions about Dividend Discount Model.

The practical details behind the request, access and result.

How does the Dividend Discount Model MCP help with stock valuation?

It automates the math for finding a stock's fair price. Instead of manual formulas, your agent uses dividend data and growth rates to give you a specific intrinsic value.

Can I use the Dividend Discount Model MCP for non-dividend stocks?

No, this specific MCP is designed for dividend-paying stocks. It relies on dividend streams to calculate the intrinsic value of the equity.

What is the cost of equity calculation in this Connector?

The Connector uses the Capital Asset Pricing Model (CAPM) to determine the required rate of return. You just provide the risk factors, and it handles the math.

How do I know if a stock is undervalued using this capability?

You can ask your agent to compare the current market price against the calculated intrinsic value. It will tell you the valuation gap and the current status.

Is the Dividend Discount Model MCP accurate for long-term planning?

Yes, it's built for professional-grade valuation. It supports both single-stage and two-stage growth models to account for different company life cycles.

Can my AI agent perform multi-stage growth projections?

Yes, the Connector can handle two-stage growth projections. This is useful for companies that are expected to have different growth rates in the near and long term.

What is the difference between single-stage and two-stage models?

The single-stage model (Gordon Growth) assumes a constant growth rate forever. The two-stage model allows for an initial period of high growth followed by a transition to a stable, long-term growth rate.

How does the `estimate_cost_of_equity` capability work?

It uses the Capital Asset Pricing Model (CAPM) by taking the risk-free rate, multiplying the stock's beta by the equity risk premium, and adding them together.

Can I use this to find if a stock is undervalued?

Yes. By using evaluate_valuation_gap, you can compare the current market price against the intrinsic value calculated by calculate_intrinsic_value to see if the stock is undervalued, overvalued, or fairly priced.

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Give your agent a direct line to Dividend Discount Model.

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