How to Use the Basis Calculator MCP in Google ADK

Q: Can I filter which tools Basis Calculator exposes to Google ADK?

You can. Use the toolnames filter during setup to limit the agent to only the specific functions you want it to use.

Analyze commodity spreads within Google ADK for enterprise agents connected to your cloud data.

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Connect Basis Calculator MCP to Google ADK

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Setup Basis Calculator with Google ADK

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Instant basis calculation for Google ADK

Run `calculate_current_basis` to turn raw price inputs into actionable market intelligence. Your agent calculates the spread instantly, identifying if the local market is trading at a premium or discount. This MCP provides the logic needed to interpret complex pricing. It removes the manual work of subtracting futures from local cash quotes.

Query historical averages

Access years of pricing trends to ground your agent's reasoning. By using `get_historical_averages`, the agent evaluates current bids against long-term performance metrics. This helps your agent spot anomalies in the market. It ensures your decisions are backed by a deep understanding of historical pricing patterns.

Identify seasonal patterns

Track the typical ebb and flow of the market with `get_seasonality_trend`. Your agent uses this to forecast how the basis might shift in the coming weeks. This functionality gives your agent a forward-looking perspective. It allows you to align your sales strategy with established seasonal market behavior.

Setup guide

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

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Common questions about Basis Calculator MCP in Google ADK

You instantiate the toolset using your server URL and pass it into your agent constructor. This links the tools directly to your Google ADK environment.

Yes. Because these tools return structured data, your agent can incorporate the results into a massive context window for complex decision-making.

You can. Use the tool_names filter during setup to limit the agent to only the specific functions you want it to use.

Each tool accepts parameters for your specific commodity. This ensures the calculations remain accurate regardless of the product you are analyzing.

Security is managed through your existing cloud infrastructure. The MCP only processes your provided pricing numbers and does not store them outside your direct control.

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