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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Option Pool Shuffle Simulator MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
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
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.
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
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