How to Use the Option Pool Shuffle Simulator MCP in LlamaIndex
Index VC dilution scenarios directly into LlamaIndex to query the true cost of capital.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Option Pool Shuffle Simulator MCP to LlamaIndex
Create your Vinkius account to connect Option Pool Shuffle Simulator to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Vector Search For Cap Tables
Your LlamaIndex setup queries the `compare_shuffle_impact` tool to quantify the difference between term sheet structures. The agent receives the exact dollar delta between pre and post-money option pool creation. Instead of just returning a number to the user, the framework embeds this financial outcome into your vector store. You build a historical index of every term sheet negotiation your firm handles.
Grounded Financial Queries
Semantic search requires factual data. Calling `compute_pre_money_scenario` generates hard ownership percentages based on the founder taking the entire dilution hit. Vinkius provides this MCP alongside 4,000 others in a unified catalog. You connect your LlamaIndex BasicMCPClient once and pull live financial calculations directly into your RAG applications.
RAG Powered MCP Server
Your RAG application needs the counter-proposal data. The `compute_post_money_scenario` function calculates the cap table if investors share the dilution burden. The FunctionAgent handles the inputs automatically. You ask natural questions about term sheets and the agent pulls the exact math from the API before formulating a response.
Set up Option Pool Shuffle Simulator MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Option Pool Shuffle Simulator MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Option Pool Shuffle Simulator tools.",
)
response = await agent.run("List recent Option Pool Shuffle Simulator data") 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 LlamaIndex
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