How to Use the Commodities MCP in Mastra AI

Build reliable automated trading workflows in Mastra AI with built-in retry logic and error handling.

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Connect Commodities MCP to Mastra AI

Create your Vinkius account to connect Commodities to Mastra AI 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 Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automate market checks with Mastra AI

Create agents that watch specific price points using `get_crude_oil_price` or `get_natural_gas_price`. If a price hits your target, the workflow engine fires an alert. Failures get handled automatically with exponential backoff. Your logic stays robust even when network requests flicker.

Chain complex commodity operations

Run multi-step tasks that compare `get_silver_price` against `get_gold_price` ratios. Mastra AI executes these steps in order and manages the memory between them. Conditional branching lets you decide what happens next based on the data returned. It creates a predictable path for your automated operations.

Deploy market agents to the cloud

Package your tools and deploy them to your infrastructure with one command. Your agent stays online, querying `get_agriculture_commodities_prices` on your schedule. Everything stays within your controlled environment. You keep full oversight of how the agent interacts with the market data.

Setup guide

Set up Commodities MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Commodities tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "commodities-mcp-client",
  servers: {
    "commodities-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Commodities Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Commodities tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Commodities transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Commodities-API. 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 Commodities MCP in Mastra AI

Define an agent in your project and register this MCP Server as a tool provider. You can then write workflows that call the tools in sequence.

You can set up a periodic workflow that checks prices and triggers a notification if they cross a threshold. This happens entirely in your agent's loop.

Yes, you can enable human-in-the-loop verification before the agent takes any action. This keeps you in control of every market operation.

The framework automatically retries failed requests to ensure your data is always fresh. You don't need to write custom error handling code.

We only access public futures price data. Your internal agent logic and any sensitive business triggers remain private within your own infrastructure.

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