How to Use the AgroLog MCP in Mastra AI

Q: Can Mastra AI automatically respond to AgroLog alarms?

You can build a workflow that periodically checks getalarms for critical threshold breaches. If an alarm returns active, the agent branches into a response path to adjust ventilation or notify staff.

Q: Does Mastra AI support human approval for AgroLog relay controls?

You can enforce approval on the setrelaystate tool. The workflow pauses when the agent decides to turn on a fan, waiting for your explicit confirmation before executing the action.

Q: How do I query historical silo data with this framework?

Use getdevicetelemetry to pull time-series data for specific keys like temperature or moisture. Mastra handles the asynchronous fetching while your agent analyzes the trend over the specified data point limit.

Build automated grain management workflows by integrating the AgroLog MCP Server with your Mastra AI agents.

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Connect AgroLog MCP to Mastra AI

Create your Vinkius account to connect AgroLog 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 AgroLog with Mastra AI

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Automate Grain Drying Decisions

`get_moisture` checks the current water content in your stored grain to determine if it exceeds safe storage thresholds. Your Mastra AI workflow can branch based on this percentage, proceeding to check external conditions before taking action. If the grain is too wet, the agent calls `get_weather` to evaluate outdoor humidity and wind speed. The workflow engine handles these sequential API calls, retrying automatically if a sensor drops offline during the query.

Monitor CO2 with Mastra AI

`get_co2` pulls timestamped parts-per-million readings to detect biological activity like mold or insect respiration. Elevated carbon dioxide is the earliest warning sign of spoilage, appearing long before temperature spikes register on standard probes. You configure the agent to poll this endpoint on a schedule. If it detects a sudden rise in headspace gas, the workflow can trigger an alert or query `get_device_attributes` to verify the sensor's calibration data before notifying the facility manager.

Resilient Relay Actuation

`set_relay_state` commands physical fans and aeration equipment to turn on or off based on your workflow's logic. Mastra's built-in failure handling ensures that if an MCP command times out, the system backs off and tries again. You can wrap this tool in a requireToolApproval check to keep a human in the loop. The agent prepares the command to activate the dryer, but waits for the operator's final sign-off before altering the physical state.

Setup guide

Set up AgroLog 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 AgroLog 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: "agrolog-mcp-client",
  servers: {
    "agrolog-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about AgroLog MCP in Mastra AI

Install @mastra/mcp and pass your server URL into the MCPClient constructor. Call listTools() and spread the result into your agent's tool array.

You can build a workflow that periodically checks get_alarms for critical threshold breaches. If an alarm returns active, the agent branches into a response path to adjust ventilation or notify staff.

You can enforce approval on the set_relay_state tool. The workflow pauses when the agent decides to turn on a fan, waiting for your explicit confirmation before executing the action.

Use get_device_telemetry to pull time-series data for specific keys like temperature or moisture. Mastra handles the asynchronous fetching while your agent analyzes the trend over the specified data point limit.

Your bin capacity percentages and hardware relay states travel through an ephemeral, zero-trust environment. Authentication happens via a single token, meaning your physical infrastructure details are never exposed to unauthorized endpoints.

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