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Vinkius runs on OpenAI Agents SDK

How to Use the Option Pool Shuffle Simulator MCP in OpenAI Agents SDK

Build production-ready VC dilution models with the Option Pool Shuffle Simulator and OpenAI Agents SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Option Pool Shuffle Simulator MCP on Cursor AI Code Editor MCP Client Option Pool Shuffle Simulator MCP on Claude Desktop App MCP Integration Option Pool Shuffle Simulator MCP on OpenAI Agents SDK MCP Compatible Option Pool Shuffle Simulator MCP on Visual Studio Code MCP Extension Client Option Pool Shuffle Simulator MCP on GitHub Copilot AI Agent MCP Integration Option Pool Shuffle Simulator MCP on Google Gemini AI MCP Integration Option Pool Shuffle Simulator MCP on Lovable AI Development MCP Client Option Pool Shuffle Simulator MCP on Mistral AI Agents MCP Compatible Option Pool Shuffle Simulator MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on OpenAI Agents SDK

Connect Option Pool Shuffle Simulator MCP to OpenAI Agents SDK

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

GDPR Included with Plan

Key Capabilities

Calculate founder dilution in OpenAI Agents SDK

Venture capitalists love burying the option pool in the pre-money valuation. You need your agent to catch this math before you sign a term sheet. Passing terms into `compute_pre_money_scenario` gives your system the exact equity hit founders take. Guardrails validate the inputs so your deployment never spits out bad math to users.

Map post-investment outcomes

Sometimes founders successfully negotiate the option pool into the post-money side. Your deployed application needs to model this alternative reality instantly. The `compute_post_money_scenario` function handles the exact cap table math for this setup. Tracing in the OpenAI dashboard lets you watch the agent execute these calculations step by step.

Expose the true cost of the shuffle via MCP

The difference between these two structures is often millions of dollars. Your production agent can hand this analysis off to a specialized negotiation bot. Running `compare_shuffle_impact` quantifies the exact financial penalty of the shuffle. Auto-discovery means you just pass this MCP to your agent and it knows exactly when to run the comparison.

Setup guide

Set up Option Pool Shuffle Simulator MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Option Pool Shuffle Simulator tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Option Pool Shuffle Simulator tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Option Pool Shuffle Simulator tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Option Pool Shuffle Simulator Agent",
            instructions="You have access to Option Pool Shuffle Simulator tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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 OpenAI Agents SDK

Install the pip package first. Create an MCPServerStreamableHttp instance with your Vinkius URL. Pass it directly to the Agent constructor using the mcp_servers array.
Yes. Set cacheToolsList to true in your configuration. This stops the agent from refetching the MCP schema on every single turn.
Every step shows up in your dashboard. You see exactly what valuation numbers the agent sent to the MCP. The trace includes the raw JSON response.
You define strict parameters for the agent. If it tries to pass a negative valuation to the dilution tools, the system blocks the call. It keeps your production app safe.
It only processes the valuation numbers and percentage pools you send it. Your actual cap table documents remain local to your environment. We never store your specific equity splits.

Start using the Option Pool Shuffle Simulator MCP today

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Built & Managed by Vinkius 30s setup 3 tools

We've already built the connector for Option Pool Shuffle Simulator. Just plug in your AI agents and start using Vinkius.

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