How to Use the NavAPI MCP in Mastra AI

Q: How do I add NavAPI tools to my Mastra AI agent?

Instantiate the MCPClient from @mastra/mcp with your Vinkius server URL. Then, call mcpClient.listTools() and spread the result into the tools array when you define your agent.

Q: Can my Mastra AI agent use NavAPI to find the distance between two specific ports?

Absolutely. The getportdistance tool is designed for exactly that. Your agent just needs to provide the unique identifiers for the two ports you want to measure between.

Build resilient maritime logistics workflows with Mastra AI. Automate route planning and port analysis that can survive API failures.

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Connect NavAPI MCP to Mastra AI

Create your Vinkius account to connect NavAPI 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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Design Failure-Proof Workflows

Create agents that don't break on the first error. Before your agent calls a critical tool like `search_maritime_routes`, have it run `check_api_status`. If the API is down, Mastra's engine can automatically retry with exponential backoff. This means your workflow for finding shipping routes or checking port traffic just works. You write the logic for the maritime task, and Mastra handles the operational resilience. You don't need to write complex retry loops yourself.

Chain Maritime Tools Together

Solve complex logistics problems by combining tools in a single workflow. Your Mastra agent can first call `get_nautical_ports` to get a list of all ports in a country. Then, it can loop through that list, calling `get_port_vessel_traffic` on each one to find the busiest port. Finally, it can use that result to feed into another tool, like `get_port_distance`. This is how you build automated analysis that goes beyond simple, one-shot queries. This MCP server gives you the building blocks.

Add Human-in-the-Loop Approval

Some decisions need a human eye. You can design a workflow where an agent uses `search_maritime_routes` to propose a new shipping route. But before it's finalized, Mastra's `requireToolApproval` feature pauses the entire process. A human dispatcher gets a notification to review the plan. They can use `list_nautical_charts` to double-check safety and then approve or deny the step. It's the right way to mix automation with expert oversight.

Setup guide

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

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

const result = await agent.generate(
  "List recent NavAPI 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 NavAPI. 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 NavAPI MCP in Mastra AI

Instantiate the `MCPClient` from `@mastra/mcp` with your Vinkius server URL. Then, call `mcpClient.listTools()` and spread the result into the `tools` array when you define your agent.

Absolutely. The `get_port_distance` tool is designed for exactly that. Your agent just needs to provide the unique identifiers for the two ports you want to measure between.

Yes, that's a perfect use case. Your workflow's first step should be to call the `check_api_status` tool. You can then use Mastra's conditional logic to proceed only if the response is 'OK'.

Yes. If a tool call to the NavAPI server fails due to a temporary network issue, Mastra's built-in retry mechanism will attempt the call again. This makes your agent more robust.

Your agent, running in your own environment, makes a call to the Vinkius MCP server. The request for port, route, or vessel data is processed in a dedicated sandbox and the result is sent back. Your workflow logic is never exposed to Vinkius, and the maritime data itself is not stored after the transaction.

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