How to Use the Option Pool Shuffle Simulator MCP in Vercel AI SDK

Calculate VC term sheet dilution live in your Next.js frontend with Vercel AI SDK. Run the math before signing anything.

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Connect Option Pool Shuffle Simulator MCP to Vercel AI SDK

Create your Vinkius account to connect Option Pool Shuffle Simulator to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Option Pool Shuffle Simulator with Vercel AI SDK

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Stream Pre-Money Math to React

The `compute_pre_money_scenario` tool models exact cap table ownership when investors force the option pool expansion before their cash hits the bank. This is where founders lose millions. Your Vercel AI SDK client calls the MCP and streams the raw equity breakdown straight into your UI. Users see the percentages shift in real time. You build a Next.js dashboard where founders input term sheet numbers and watch their stake shrink instantly. No loading spinners hide the bad news.

Model Post-Money Scenarios via Vercel AI SDK

Pushing the pool expansion after the investment shares the dilution burden across everyone. The `compute_post_money_scenario` tool calculates exactly how much equity the founders save when VCs take their hit too. Edge functions handle the math instantly. Your React app renders the updated capitalization table while the agent explains the mechanics to the user. You give founders the exact numbers they need for the negotiation table.

Reveal the True Cost of the Shuffle

VCs love to bury the option pool timing in the fine print. You run `compare_shuffle_impact` to instantly spot the delta between the two structures. The MCP outputs the exact percentage difference in founder ownership. Building this into an interactive Svelte or Vue interface takes minutes. The AI client feeds the comparative data directly into your charts. Bottom line is you expose the hidden math before the ink dries.

Setup guide

Set up Option Pool Shuffle Simulator MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Option Pool Shuffle Simulator tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Option Pool Shuffle Simulator transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Option Pool Simulator. 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 Option Pool Shuffle Simulator MCP in Vercel AI SDK

Run npm install ai @ai-sdk/mcp in your terminal. Initialize the connection using createMCPClient with an HTTP transport. Pass the returned tools directly to streamText.

Yes. The underlying architecture works natively with Edge Functions. Your Next.js app will fetch and render cap table math without cold boot delays.

It feeds raw equity dilution formulas into your AI client. You build interfaces that let founders visualize the financial hit of different VC term sheets live.

Not at all. The SDK streams the structured data directly to your frontend components. You just map the JSON fields to your React charts.

Your proprietary valuation figures and share counts never touch our databases. The MCP processes the raw numerical inputs in memory and returns the calculated percentages instantly. We log absolutely nothing.

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