How to Use the Commodities MCP in Google ADK

Q: How do I restrict which Commodities tools are exposed to my Google ADK agent?

You use the toolnames filter when initializing your McpToolset instance. This limits the agent to specific tools like getsilverprice while hiding livestock or agricultural endpoints.

Feed live futures data directly to Google ADK using this MCP Server to analyze commodity trends alongside your BigQuery datasets.

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Connect Commodities MCP to Google ADK

Create your Vinkius account to connect Commodities to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Commodities with Google ADK

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Long-context industrial metal analysis

The `get_copper_price` tool pulls current futures data for industrial metal markets directly into your Google ADK runtime. Because Gemini handles massive context windows, your agent can cross-reference these real-time copper rates against ten years of historical supply chain logs stored in BigQuery. This combination lets your enterprise agent spot macro trends without hitting token limits. It uses `get_copper_price` to feed live pricing variables straight into your Vertex AI predictive models.

Google ADK energy portfolio tracking

The `get_energy_commodities_prices` tool retrieves active market rates for crude oil, Brent, and natural gas. When integrated with Google ADK, your cloud-hosted agents can monitor global energy shifts and write structured summaries back to your Cloud Storage buckets. If Brent spreads widen, your agent calls `get_brent_crude_oil_price` alongside `get_crude_oil_price` to calculate arbitrage opportunities. The raw market data is formatted instantly for your enterprise dashboards.

Agricultural supply chain automation via MCP Server

The `get_agriculture_commodities_prices` tool exposes live rates for major food crops like soy, corn, and cocoa. Exposing this via an MCP Server lets your Google ADK agent automate purchase orders when crop prices drop below your defined enterprise thresholds. Your agent queries `get_coffee_price` or `get_wheat_price` to update inventory valuation spreadsheets automatically. You avoid manual data entry entirely while keeping your supply chain records synchronized with live Chicago Board of Trade prices.

Setup guide

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

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Common questions about Commodities MCP in Google ADK

Absolutely. Your Google ADK agent can fetch current prices via `get_natural_gas_price` and write them directly to BigQuery to run predictive analytics against your private enterprise logs.

You use the tool_names filter when initializing your McpToolset instance. This limits the agent to specific tools like `get_silver_price` while hiding livestock or agricultural endpoints.

Yes. You can run the server locally via Stdio for development, or deploy it to Cloud Run and connect using the HTTP transport for production workloads.

Your agent can ingest thousands of pages of agricultural reports alongside live feeds from `get_wheat_price` to generate deeply researched market summaries in a single step.

Vinkius manages the server credentials inside a zero-trust, ephemeral sandbox. Your Google ADK queries pass through a secure gateway, ensuring your API tokens and specific futures inquiries are never exposed to external networks.

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