How to Use the Navisphere MCP in Mastra AI

Q: How do I add the Navisphere MCP Server tools to my Mastra AI agent?

First, install the @mastra/mcp package. Then, instantiate the MCPClient with your Vinkius URL and spread the output of mcpClient.listTools() into your agent's tool configuration. Mastra handles the rest.

Q: Can a Mastra AI workflow automatically bid on Navisphere loads?

Absolutely. You can create a workflow that uses searchavailableloads, filters the results, and then systematically calls submitbid on any matching freight. You can even set it to require human approval before the final bid.

Build resilient freight automation with Mastra AI. Create multi-step workflows for Navisphere that bid, track, and manage shipments.

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Connect Navisphere MCP to Mastra AI

Create your Vinkius account to connect Navisphere 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 Navisphere with Mastra AI

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Automate Your Freight Bidding Logic

The `search_available_loads` tool finds freight matching your criteria. In a Mastra AI workflow, you can chain this with `get_rate_estimate` to check profitability before you even think about bidding. It's all one automated sequence. If a load looks good, your agent automatically calls `submit_bid`. Mastra's built-in retry logic handles any network hiccups. If the bid fails, your workflow can branch to notify a dispatcher or try a different load.

Create Unbreakable Shipment Workflows with Mastra AI

Use `create_shipment` to book a new load right after a bid is won with `accept_offer`. Mastra AI ensures this multi-step process completes, retrying the shipment creation if the first attempt fails. You don't have to babysit the API. You can build conditional logic around shipment status. For example: `track_shipment`, if status is "Delayed", then trigger an alert. If status is "Delivered", then automatically trigger `upload_shipment_documents` to send the POD.

Set Up Real-Time Event Subscriptions

The `subscribe_webhooks` tool lets Navisphere push updates to your agent. This is more efficient than constantly polling for changes. Your Mastra AI agent just listens for events like "Arrived" or "Departed". This is perfect for building reactive workflows. An incoming webhook from `get_tracking_events` can trigger a whole chain of actions, like notifying the customer of a delay or confirming a delivery, all without manual intervention. This is what makes this MCP server so useful.

Setup guide

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

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

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

First, install the `@mastra/mcp` package. Then, instantiate the `MCPClient` with your Vinkius URL and spread the output of `mcpClient.listTools()` into your agent's tool configuration. Mastra handles the rest.

Absolutely. You can create a workflow that uses `search_available_loads`, filters the results, and then systematically calls `submit_bid` on any matching freight. You can even set it to require human approval before the final bid.

Mastra AI has built-in automatic retries with exponential backoff. If a call to `create_shipment` fails, the framework will try again. If it continues to fail, your workflow can branch to a different step, like logging an error or alerting a human.

Yes. You can design a workflow that iterates through a list of shipment IDs, calling the `track_shipment` tool for each one. This lets you build a central dashboard or monitoring system for all your active freight.

Vinkius processes your bid amounts and shipment tracking data inside a zero-trust environment for each request. The connection is encrypted end-to-end, and your Mastra AI agent authenticates with a unique token. No operational data is permanently stored on the MCP server.

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