How to Use the Kargo MCP in Mastra AI

Q: Can Mastra-AI monitor Kargo payload logs?

Use listpayloadlogs to audit your sync history. You can build an agent that flags failed syncs for your review.

Q: Does Kargo work with Mastra-AI multi-step tasks?

It is built for that. Chain getdevicestatus into updatelogistics to automate hardware maintenance cycles.

Build resilient logistics workflows in Mastra-AI. Automate gate dispatching and shipment syncing with native error handling.

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Connect Kargo MCP to Mastra AI

Create your Vinkius account to connect Kargo 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 Kargo with Mastra AI

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Branching logistics logic in Mastra-AI

Use `list_facilities` and `list_orders` to build conditional workflows that adapt to warehouse volume. If a facility shows high load, your agent reroutes incoming shipments automatically. Logic flows happen inside your Mastra-AI agent. You define the rules and let the agent call the tools when conditions shift.

Automated retries for warehouse sync

Mastra-AI wraps `update_logistics` with built-in retry mechanisms. If a sync attempt hits a network hiccup, the agent handles it without human intervention. This ensures your facility logs stay consistent. Your agents keep working even when individual requests fail.

Human-in-the-loop for Kargo operations

Toggle `requireToolApproval` for sensitive operations like `update_logistics`. Your agent drafts the update, then waits for your confirmation in the console. You keep control over major changes. The agent does the heavy lifting, you provide the final sign-off.

Setup guide

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

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

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

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Common questions about Kargo MCP in Mastra AI

Import the server URL into your agent config. Mastra-AI auto-discovers every tool in the catalog.

Yes. Configure exponential backoff in your agent settings. It prevents overloading the Kargo endpoint.

The server uses ephemeral connections. It only touches order IDs and device status during the agent's active execution window.

Use `list_payload_logs` to audit your sync history. You can build an agent that flags failed syncs for your review.

It is built for that. Chain `get_device_status` into `update_logistics` to automate hardware maintenance cycles.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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