How to Use the Option Pool Shuffle Simulator MCP in LangChain

Q: Does the Option Pool Shuffle Simulator work with standard ReAct agents?

It works out of the box. Call client.gettools() and pass the array to your createagent function.

Build financial reasoning pipelines with LangChain to expose VC dilution mechanics.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Option Pool Shuffle Simulator MCP to LangChain

Create your Vinkius account to connect Option Pool Shuffle Simulator to LangChain — 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 LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

LangChain Logic For Founder Equity

Your agent calculates early dilution triggers using `compute_pre_money_scenario`. This tool takes the proposed term sheet variables and returns the exact founder ownership percentage before any new money enters the bank account. ReAct agents shine here. They take that initial cap table math and feed it into subsequent financial models. LangSmith tracks the exact token usage and latency of every calculation step.

Model Investor Friendly Structures

Chains handle sequential math perfectly. The `compute_post_money_scenario` tool runs the alternative calculation where the option pool gets created after the investment clears. Vinkius manages over 4,000 MCPs in its catalog. You connect your LangGraph setup once and gain access to this finance tool alongside thousands of others. The multi-server client routes requests automatically.

Automate The Final Analysis

The real value comes from the final chain link. Calling `compare_shuffle_impact` forces the agent to subtract the pre-money results from the post-money figures. This outputs the actual dollar cost of the shuffle. Your LangChain agent can then format this delta into a plain text memo for the founding team to review before negotiations start.

Setup guide

Set up Option Pool Shuffle Simulator MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Option Pool Shuffle Simulator tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "option-pool-shuffle-simulator-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Option Pool Shuffle Simulator transactions"
    })
    print(result["messages"][-1].content)

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Common questions about Option Pool Shuffle Simulator MCP in LangChain

Run pip install langchain-mcp-adapters langgraph. Then initialize a MultiServerMCPClient pointing to the Vinkius HTTP endpoint.

Yes. Your agent can run the pre-money math and immediately feed those outputs into the comparison tool. LangSmith traces the entire execution path.

It works out of the box. Call client.get_tools() and pass the array to your create_agent function.

Vinkius acts as the single catalog for 4,000 managed tools. You connect LangChain to the central hub once to access everything.

This MCP processes raw cap table figures and term sheet percentages. The stateless HTTP transport drops all financial variables the millisecond the HTTP response closes.

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