How to Use the Option Pool Shuffle Simulator MCP in Google ADK

Q: Can I restrict the Option Pool Shuffle Simulator tools in Google ADK?

You can filter the exposed functions. Use the toolnames parameter to limit what the agent sees. This keeps your Gemini instance focused on specific math.

Analyze VC term sheets in BigQuery using the Option Pool Shuffle Simulator and Google ADK.

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Connect Option Pool Shuffle Simulator MCP to Google ADK

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Setup Option Pool Shuffle Simulator with Google ADK

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Model post-money equity with Google ADK

Enterprise cap table data usually lives in BigQuery. You want your Gemini agent to read that data and calculate future ownership states instantly. Calling `compute_post_money_scenario` calculates the exact founder ownership when new options are created after the round. Gemini handles the massive context window so you can feed it entire term sheet histories at once.

Quantify pre-money dilution

Investors push for the option pool to come out of the pre-money valuation. This forces founders to take the entire dilution hit alone. The `compute_pre_money_scenario` tool runs the math on this exact structure. Your Google Cloud agent can then write the resulting equity breakdown directly back into your database.

Contrast term sheet structures via MCP Server

Founders need to see the dollar difference between these two math tricks. Gemini excels at taking complex financial comparisons and explaining them clearly. Triggering `compare_shuffle_impact` exposes the precise cost of the investor shuffle. You just pass the McpToolset to your LlmAgent and let it reason through the financial impact.

Setup guide

Set up Option Pool Shuffle Simulator MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Option Pool Shuffle Simulator tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Option Pool Shuffle Simulator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Option Pool Shuffle Simulator tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Option Pool Shuffle Simulator MCP in Google ADK

Use the McpToolset class with StreamableHttpServerParameters. Point it at your Vinkius URL. Pass the resulting object into your LlmAgent tools array.

You can filter the exposed functions. Use the tool_names parameter to limit what the agent sees. This keeps your Gemini instance focused on specific math.

Your agent pulls the numbers from BigQuery first. Then it sends those specific valuation figures to the MCP. The calculation results come back ready for storage.

Term sheets are long and complex. The massive token window lets you dump the entire PDF into context. The agent extracts the exact variables needed for the dilution math.

You only transmit the raw investment amounts and pool percentages. Identifying company names and actual stakeholder identities never leave your Google Cloud project. The math executes without knowing who owns the shares.

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