Liquidation Preference MCP for AI. Model Complex Equity Payouts Instantly
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Connect to your AI in seconds.
Liquidation Preference Calculator models complex equity payouts when a company sells or exits. This MCP lets you calculate exact proceeds distribution, determine conversion breakpoints, and quantify preference overhang based on cap table rules.
It handles tricky scenarios involving participating vs non-participating preferred shares.
Determines the exact amount of money each class of shareholder receives based on the exit valuation.
Pinpoints specific total exit valuations where the payout structure changes, triggering a change in preferred share status.
Quantifies the total financial obligation the company owes to its preferred shareholders before common stockholders see any money.
Ask an AI about this
Waiting for input…
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Liquidation Preference integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Liquidation Preference Calculator, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Liquidation Preference Calculator. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Calculating exit payouts feels like navigating a maze of spreadsheets.
Today, calculating what happens when your company sells is an exercise in risk management. You spend hours building massive Excel models, cross-referencing multiple shareholder agreements, and constantly worrying about which assumption—the liquidation multiplier or the participation right—you missed. One wrong cell reference means you've misstated investor rights by millions.
With this MCP, you stop guessing. Your agent handles the complex math instantly. You just input the terms (1x non-participating, etc.), and it spits out a guaranteed accurate proceeds distribution, letting you show investors exactly how they get paid.
Using the Liquidation Preference Calculator gives immediate clarity on investor payouts.
The tedious manual steps of building and auditing waterfall charts vanish. You don't have to guess if a higher valuation triggers conversion or how many times participation rights stack up. These tools handle that logic automatically.
Now, when you present an exit analysis, the numbers are clean, defensible, and instantly accurate. This changes everything about investor trust and due diligence speed.
What your AI can actually do with this
When your startup cashes out, who gets paid first? That's the whole point of this calculator. It’s a specialized engine for modeling equity distribution during company exits. Instead of wrestling with complex spreadsheets and assumptions, you feed in the cap table details—the ownership stakes, the valuation multiples, the preference structures—and get accurate payout projections.
You can analyze everything from simple liquidation waterfalls to complicated participating preferred rounds. For instance, it lets you see exactly how much a Series A investor gets versus an employee who owns common stock when the exit price hits certain thresholds. Using this tool through Vinkius means your AI agent handles the heavy math, letting you focus on strategy.
You can accurately quantify preference overhang and test out multiple scenarios instantly.
019eeae4-9794-72ed-8d2c-4b9292c9ba54 
Here's how it actually works
The bottom line is you get instant, mathematically accurate payout modeling without building custom financial models.
Input your cap table data, including ownership percentages and specific liquidation preference terms (e.g., 1x non-participating).
Run the calculation using available tools to model different exit valuations or test for key conversion breakpoints.
Receive a detailed report showing the precise proceeds distribution waterfall, confirming exactly what each shareholder gets paid.
Who is this actually for?
Venture Capital associates and corporate counsel need this. They spend too much time running manual waterfall calculations that might miss a single preference detail. This MCP lets them model complex exits fast, giving them confidence in their due diligence.
Models potential exit scenarios for portfolio companies to advise LPs on cap table health and valuation.
Tests the financial impact of different funding rounds or acquisition valuations on existing shareholder agreements.
Verifies that proposed investment documents accurately reflect liquidation rights and payout structures under various exit scenarios.
What Changes When You Connect
Avoid spreadsheet errors. Instead of manually calculating complex waterfalls, use calculate_proceeds_distribution to get the precise payout for every shareholder class.
Know your limits upfront. Use assess_preference_overhang to immediately quantify how much money is locked up by preferred shares before common equity holders see a dime.
Test future valuations safely. Run through potential exit prices and use find_conversion_breakpoints to figure out exactly when the payout rules change for your company.
Compare rounds quickly. When evaluating new investment terms, model how different preference structures impact overall investor returns using this MCP's tools.
Save hours of legal review time. Instead of having lawyers manually check waterfall models, you can validate the math with these specialized calculators.
See it in action
Evaluating a potential acquisition
A VC firm needs to know if a target company's Series B investors are overly protected. They run assess_preference_overhang and immediately see the total payout obligation is massive, advising their client that the exit value might be lower than expected.
Structuring a new funding round
A founder needs to convince investors on how dilution will affect early employees. They use calculate_proceeds_distribution with three different valuation scenarios, demonstrating that the payout structure remains favorable even at lower exit multiples.
Checking investor rights after a raise
A legal team is reviewing due diligence and needs to know if participation rights are triggered. They use find_conversion_breakpoints to pinpoint the exact valuation where their current preferred stock converts from non-participating to fully participating.
Predicting payouts for a small exit
A smaller startup is selling assets and needs quick cash. They use calculate_proceeds_distribution with the low exit price, confirming that only core preferred notes get paid out, leaving nothing for common stockholders.
The honest tradeoffs
Using a simple percentage calculator
Assuming all investors just get paid based on their ownership percentage of the final sale price. This fails when preferred shares have liquidation preferences or participation rights.
Always use calculate_proceeds_distribution. It correctly sequences payouts, ensuring that preference money is accounted for before common equity gets anything.
Manually modeling the waterfall
Building a spreadsheet that must account for multiple changing rules (e.g., 1x non-participating vs 2x participating) and requires constant auditing of assumptions.
Use assess_preference_overhang first to establish the total obligation, then use calculate_proceeds_distribution for the final payout numbers.
Ignoring valuation changes
Running a calculation only at the current round's price and failing to test what happens if the exit value is much higher or lower.
Use find_conversion_breakpoints to map out all critical valuation points, guaranteeing you understand how your rights change across the entire spectrum of potential exits.
When It Fits, When It Doesn't
You need this MCP if your company's payout structure is governed by legal agreements that involve multiple tiers of preference (e.g., Series A 1x non-participating, Series B 2x participating). You must use this if the distribution depends on complex rules like 'payout first to preferred, then remaining proceeds pro-rata.' Don't use it if you simply need to split revenue based purely on current ownership percentage; a simple proportional calculator will suffice. However, never use it for anything that involves legal covenants, because the payout sequence and triggers are everything.
Questions you might have
How does the Liquidation Preference Calculator handle participating shares? +
The tool accurately models participation rights by ensuring that preferred investors receive their preference amount and get to participate pro-rata in the remaining proceeds. It handles both participating and non-participating structures.
Do I need a specific valuation to use calculate_proceeds_distribution? +
Yes, you must input an exit price or total consideration value for the calculation. The tool runs the full distribution waterfall based on that single number.
What is 'preference overhang' and how do I use assess_preference_overhang? +
Preference overhang is the money owed to preferred shareholders before common equity holders see anything. Use assess_preference_overhang to find this number first, which sets the ceiling for the common payout.
Can I use Liquidation Preference Calculator to model multiple exit prices? +
Absolutely. You can test various scenarios by running calculations with different total proceeds amounts, helping you map out how payouts shift as the company valuation changes.
How does using `calculate_proceeds_distribution` handle complex security structures? +
The tool requires specific inputs for each class, including ownership percentage, liquidation multiple, and participation rights. Providing this detailed breakdown ensures the model accounts for every weighted security in your cap table.
When should I use `find_conversion_breakpoints` instead of running a simple distribution calculation? +
Use this tool when you need to know the specific valuation thresholds where shareholder rights change. It pinpoints those exact price points that trigger conversion or shift participation status.
What does an overhang result of zero from `assess_preference_overhang` mean? +
A zero total preference overhang means the exit proceeds fully cover all senior investor obligations. This indicates there are no residual claims remaining for early-stage investors after all preferences have been paid out.
Is this MCP limited only to liquidation events, or can I use it for other financing models? +
This MCP specializes in modeling exit distributions and preference mechanics. While you feed data from various sources into your agent, its scope is strictly confined to determining shareholder payouts under defined liquidation terms.
We've already built the connector for Liquidation Preference. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
This connector is live and waiting.
You're up and running in seconds.
Gemini Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.
Built, hosted, and secured by Vinkius. You just connect and go.