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Connect Stock Valuation Dcf to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Calculate intrinsic equity values using multi-stage growth models.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Stock Valuation Engine.

  1. 01

    Analyze valuation risk

    This capability categorizes the quality of an investment. It looks at price deviations to determine if a position is a buy, hold, or sell.

  2. 02

    Calculate intrinsic undervaluation

    This capability computes the fundamental intrinsic value and the resulting margin of safety. It uses a multi-stage DCF model to find the fair price per share.

  3. 03

    Generate sensitivity matrix

    This capability creates a 3x3 matrix to show how different WACC and terminal growth rates change the valuation. It helps you see the range of possible outcomes.

Real work

What teams actually run

01

Rapid Stock Vetting

Input a company's FCF and growth rates to see if the current market price is a bargain.

02

Stress Testing Valuations

Use the sensitivity matrix to see if a stock remains a buy if WACC increases by 1%.

03

Risk Assessment

Determine if a thin margin of safety makes a stock too risky for a long-term position.

04

Growth Stage Modeling

Model companies moving from aggressive expansion into mature, steady-state growth.

One connector, every AI

Stock Valuation Engine works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Stock Valuation Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

686ms average. Fast in production.

Stock Valuation Engine is checked daily against the live service.

Daily averagePeak 875ms
Oct 3Today
Fastest day
544ms
Slowest day
875ms
14-day trend
Slowing+18%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Stock Valuation Engine, so you can see the experience inside your AI.

It does not authenticate your account with Stock Valuation Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Stock Valuation Engine Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_UH5hprCrdscmukoOm5CxoyzSIQ3oPxATwHqzB3qf/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Stock Valuation Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "stock-valuation-dcf-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_UH5hprCrdscmukoOm5CxoyzSIQ3oPxATwHqzB3qf/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Stock Valuation Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Stock Valuation Engine owners hand off.

This MCP is built for professionals who need to run rapid, repeatable equity models without the friction of manual spreadsheet entry.

  • 01

    Equity Analysts

    They hand off raw cash flow data to the agent to get instant intrinsic value estimates.

  • 02

    Portfolio Managers

    They use the sensitivity matrix to stress test their existing holdings against changing interest rates.

  • 03

    Individual Investors

    They use the risk categorization capability to quickly vet potential stock picks.

FAQ

Questions Stock Valuation Engine owners ask.

  • 01

    What kind of DCF model does this MCP use?

    It uses a three-phase model consisting of high growth, a transition phase, and a perpetual growth phase.

  • 02

    Can I use this with Claude or Cursor?

    Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

  • 03

    How does the sensitivity matrix work?

    The capability generates a 3x3 matrix that shows how the intrinsic value changes when you vary the WACC and terminal growth rates.

  • 04

    Does this MCP provide investment advice?

    The capability provides mathematical outputs like intrinsic value and risk categories based on your inputs, but it does not provide financial advice.

  • 05

    What is the margin of safety?

    The margin of safety is the difference between the calculated intrinsic value and the current market price.

  • 06

    How does the DCF model handle growth changes?

    The capability uses a three-stage approach: an initial high-growth phase, followed by a transition period where growth decays, and finally a perpetual stage with a stable long-term rate.

  • 07

    What is the purpose of the sensitivity matrix?

    The generate_sensitivity_matrix capability creates a 3x3 grid to show how sensitive your intrinsic value calculation is to fluctuations in the WACC and the perpetual growth rate.

  • 08

    Can I use this for international stocks?

    Yes, as long as you provide the correct local currency values and growth rates applicable to the specific market or company.

Connect Stock Valuation Engine to Claude, Cursor, ChatGPT & more