How to Use the Hedge Ratio Calculator MCP in Google ADK

Connect the Hedge Ratio Calculator to Google ADK to manage commodity risk across your enterprise.

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Connect Hedge Ratio Calculator MCP to Google ADK

Create your Vinkius account to connect Hedge Ratio Calculator to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Hedge Ratio Calculator with Google ADK

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Lock down futures volume with Google ADK

`calculate_hedge_volume` computes the exact contract count needed to protect your physical inventory. Your LlmAgent pulls historical basis data from BigQuery and feeds it straight into the tool. You stop relying on manual spreadsheets. The agent processes massive context windows to align your physical supply chain with exchange requirements.

Quantify price risk via MCP Server

The agent uses `evaluate_price_exposure` to attach a hard dollar figure to your market vulnerability. It reads thousands of rows of local spot prices and maps them against the current futures board. You see the exact risk to your balance sheet. The system updates the exposure metrics automatically as market conditions change.

Estimate final harvest returns

Trigger `project_net_margin` to calculate the actual cash you will collect after all hedges settle. The Google Cloud infrastructure handles the heavy lifting while your agent coordinates the final math. Your finance team gets a reliable baseline for the upcoming quarter. The calculation factors in the cost of the hedge against the projected value of the physical crop.

Setup guide

Set up Hedge Ratio Calculator 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 Hedge Ratio Calculator 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="Hedge Ratio Calculator_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Hedge Ratio Calculator tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Hedge Ratio Calculator MCP in Google ADK

Install the package and set up a McpToolset using StreamableHttpServerParameters. Pass this toolset directly to your LlmAgent to expose the financial functions.

You can apply a tool names filter when initializing the toolset. This limits the agent to specific functions instead of exposing the entire catalog.

Your agent reads the data from your warehouse and sends the required parameters to the server. The MCP handles the math and returns the result to your Google Cloud environment.

You can feed years of daily spot prices into the prompt. The agent analyzes the historical trends before calling the calculator tools.

Your proprietary trade sizes and physical inventory counts never train public models. The MCP server executes the math in isolation and returns the strict numerical result over the secure transport layer.

Use it with your favorite AI tools

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