How to Use the JSONCargo Maritime MCP in Mastra AI

Q: How do I add JSONCargo Maritime tools to a Mastra AI agent?

Instantiate the MCPClient in your Mastra AI project with the JSONCargo MCP Server URL. Call listTools on that client and spread them directly into your agent's tool configuration array.

Build automated maritime workflows that retry failed port queries and branch on voyage delays using Mastra AI.

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Connect JSONCargo Maritime MCP to Mastra AI

Create your Vinkius account to connect JSONCargo Maritime 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 JSONCargo Maritime with Mastra AI

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Branching logic for vessel tracking

The `search_maritime_vessels` tool acts as the primary data trigger for your Mastra AI automated agent workflows. Mastra AI uses the returned vessel registry data to decide whether to trigger port alerts or log coordinates. If a vessel search fails, Mastra's workflow engine automatically runs retries with exponential backoff. You don't write custom retry logic to handle rate-limited vessel registry lookups.

Automatic retries for voyage audits

The `get_current_voyage_details` tool pulls active transit logs, which Mastra AI monitors to detect off-schedule arrivals. When a delay is detected, the framework's workflow engine branches to notify cargo owners. This MCP Server integration allows your agents to run background checks on critical cargo without human oversight. Mastra AI handles the state management, so if a voyage query times out, the workflow resumes right where it left off.

Port congestion workflows with Mastra AI

The `list_maritime_ports` tool retrieves global port coordinates and active congestion levels to feed Mastra AI's decision trees. If congestion at a destination port exceeds your threshold, the agent uses `check_api_status` to verify the connection before routing alternatives. You define these port tracking steps in clean TypeScript code. The framework deploys the entire multi-step maritime tracking sequence to your cloud provider with a single command.

Setup guide

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

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

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

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Common questions about JSONCargo Maritime MCP in Mastra AI

Instantiate the `MCPClient` in your Mastra AI project with the JSONCargo MCP Server URL. Call `listTools` on that client and spread them directly into your agent's tool configuration array.

Yes, you can configure Mastra AI to use its human-in-the-loop feature, pausing the workflow before executing `get_current_voyage_details` or other tools.

Mastra AI uses built-in exponential backoff to retry tool calls. If `check_api_status` fails, the workflow pauses and retries until the maritime service is back online.

Yes, the Mastra AI client auto-detects the transport type. It connects to the MCP Server over SSE or HTTP without requiring manual configuration changes on your end.

Your port data and IMO numbers pass directly to your Mastra AI runtime. This MCP server runs on Vinkius and processes these queries in memory inside a zero-trust, ephemeral sandbox, leaving no persistent data trail.

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