Stock Valuation Engine Connector for AI agents.
3 live capabilities
Perform multi-stage equity valuations and sensitivity analysis on any public company.
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Why people use Stock Valuation Engine
Stock Valuation DCF for Professional Equity Research
This Connector lets you skip the manual data entry. You just tell your agent the core numbers, and it runs the three-phase growth model for you. You get the intrinsic value, the safety margin, and a full sensitivity matrix in a single interaction.
What Vinkius changes
You get a rigorous, multi-stage valuation for any stock in seconds.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Checking a tech stock's real value
A retail investor wants to know if a tech stock is worth buying at $150 given its 10% growth.
- Real-world use case 02
Stress-testing a portfolio
An analyst needs to see how a 1% increase in the WACC affects a group of stocks.
- Real-world use case 03
Quick risk categorization
A hedge fund manager needs to quickly categorize 50 stocks by their margin of safety to decide which ones to trim or hold.
Complete set · 3capabilities
The complete Stock Valuation Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Stock Valuation Engine.
01—03
3 capabilities in this set.
Part of 3 available through Stock Valuation Engine.
- 01 Capability
Analyze valuation risk
This capability labels your investment quality based on the gap between price and value. It tells you if a stock is a 'Hold' or a 'Buy' based on the safety buffer.
- 02 Capability
Calculate intrinsic undervaluation
This capability calculates the fundamental value of a stock and the margin of safety. It helps you see if a company is actually undervalued by the market.
- 03 Capability
Generate sensitivity matrix
This capability creates a 3x3 grid showing how different WACC and growth rates affect the price. It helps you see the best and worst-case scenarios at a glance.
Set up in minutes
One URL. Then ask Stock Valuation Engine to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Stock Valuation Engine 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_UH5hprCrdscmukoOm5CxoyzSIQ3oPxATwHqzB3qf/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 Stock Valuation Engine, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Stock Valuation Engine for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_UH5hprCrdscmukoOm5CxoyzSIQ3oPxATwHqzB3qf/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 Stock Valuation Engine URL.
- Step 03
Save and start
Save the connection and enable Stock Valuation Engine in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"stock-valuation-dcf": {
"url": "https://edge.vinkius.com/vk_preview_UH5hprCrdscmukoOm5CxoyzSIQ3oPxATwHqzB3qf/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 Stock Valuation Engine
Open Agent mode in chat and ask: "Using Stock Valuation Engine, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"stock-valuation-dcf": {
"url": "https://edge.vinkius.com/vk_preview_UH5hprCrdscmukoOm5CxoyzSIQ3oPxATwHqzB3qf/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 Stock Valuation Engine
Ask Copilot: "Using Stock Valuation Engine, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"stock-valuation-dcf": {
"url": "https://edge.vinkius.com/vk_preview_UH5hprCrdscmukoOm5CxoyzSIQ3oPxATwHqzB3qf/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 Stock Valuation Engine
Open Cascade and ask: "Using Stock Valuation Engine, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"stock-valuation-dcf": {
"url": "https://edge.vinkius.com/vk_preview_UH5hprCrdscmukoOm5CxoyzSIQ3oPxATwHqzB3qf/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 Stock Valuation Engine
Ask Cline: "Using Stock Valuation Engine, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add stock-valuation-dcf --transport http "https://edge.vinkius.com/vk_preview_UH5hprCrdscmukoOm5CxoyzSIQ3oPxATwHqzB3qf/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 Stock Valuation Engine
Ask Claude: "Using Stock Valuation Engine, show me...". 3 tools are ready
Where the request belongs
Work Stock Valuation Engine can move forward.
This is for people who need to go beyond surface-level stock tickers and actually understand the underlying math of equity valuation.
Equity Research Analyst
Uses this to build out deep-dive reports on public companies and justify price targets with hard data.
Hedge Fund Manager
Runs stress tests on portfolio holdings to see how sensitive they are to interest rate changes.
Serious Retail Investor
Uses it to avoid overhyped stocks by checking the actual margin of safety before buying.
Financial Planning Consultant
Values private equity targets and public holdings for diverse client portfolios.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Calculate intrinsic equity value using Gordon Growth and Two-Stage DDM models.
EBITDA Multiple Valuator
Calculate Enterprise and Equity Value using sector-specific EBITDA multiples.
Dilution Calculator
Simulate equity dilution, cap table evolution, and anti-dilution adjustments during investment rounds.
PE Ratio Analyzer
Analyze stock valuation using P/E, PEG, and sector-specific benchmarks.
M&A Synergy Calculator
Financial modeling capability to estimate NPV and break-even period for M&A deals by calculating revenue, cost, and integration synergies.
Bring your own AI
Change the model, client or framework. Keep Stock Valuation Engine connected.
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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 Stock Valuation Engine.
The practical details behind the request, access and result.
What is the Stock Valuation DCF MCP?
It is a capability that allows your AI agent to perform multi-stage Discounted Cash Flow analysis. It helps you find the intrinsic value of a stock by modeling out different growth phases and discount rates.
Can the Stock Valuation DCF MCP handle different growth phases?
Yes, it specifically handles a three-phase growth model. This includes high growth, transition, and perpetual periods to create a more realistic valuation than a single-stage model.
How does Stock Valuation DCF help with investment risk?
It categorizes your investment quality by comparing the market price to the intrinsic value. It specifically calculates the margin of safety to tell you how much room for error you have.
Can I see different price scenarios with Stock Valuation DCF?
Yes, you can generate a 3x3 sensitivity matrix. This shows you how the stock price changes if variables like the WACC or terminal growth rate fluctuate.
Is the Stock Valuation DCF MCP for all types of stocks?
It works for any stock where you can provide free cash flow and growth estimates. It is widely used for public equities and private company valuations.
How is the margin of safety calculated in Stock Valuation DCF?
The Connector compares the current market price to the intrinsic value it calculates. The difference is expressed as a percentage to show your buffer against valuation mistakes.
Can I use Stock Valuation DCF for private company analysis?
Yes, you can use it for private companies as well. You just need to provide the estimated cash flows and growth rates for the different phases.
How accurate are the DCF models in Stock Valuation DCF?
The accuracy depends on the inputs you provide. By using the sensitivity matrix, you can see a range of possible outcomes, which helps you understand the uncertainty in the valuation.
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.
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.
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.
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