How to Use the MotionTools MCP in Mastra AI

Q: How do I initialize MotionTools inside Mastra AI?

Install @mastra/mcp. Create a new MCPClient and pass your Vinkius server URL in the configuration. Call listTools() and spread the results into your agent's tool array.

Q: Can Mastra AI retry failed MotionTools booking attempts?

That is exactly what it does. If a createbooking call times out, Mastra catches the error. Its built-in workflow engine applies exponential backoff and tries the request again automatically.

Q: How does Mastra AI handle human approval for MotionTools dispatching?

You configure requireToolApproval on specific tools like createbooking. The Mastra workflow pauses execution, waits for a dispatcher to confirm the details, and then fires the request to the MCP server.

Q: How does Vinkius protect driver location data queried by Mastra AI?

Every time your workflow runs getdriver to check GPS coordinates, the request executes in a zero-trust sandbox. The Vinkius infrastructure spins up a fresh, isolated environment for the call and destroys it instantly, ensuring your fleet's physical locations are never stored.

Build resilient logistics workflows. Connect MotionTools to Mastra AI and automate dispatching with built-in retries.

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Connect MotionTools MCP to Mastra AI

Create your Vinkius account to connect MotionTools 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 MotionTools with Mastra AI

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Perplexity

Branching logic for MotionTools routing

Logistics APIs fail and drivers go offline. Mastra AI anticipates this. When your workflow calls `create_booking`, Mastra handles the network hiccups. If the endpoint drops the connection, the framework automatically retries with exponential backoff until the order goes through. You build workflows that react to the real world. A Mastra agent runs `list_drivers` to find an open slot. If the array comes back empty, the workflow branches. It waits five minutes, queries `list_bookings` to check for cancellations, and tries the assignment again.

Monitor vehicles with this MCP Server

Tracking trucks requires constant polling. Your Mastra AI workflow can loop through `list_vehicles` and `get_vehicle` to check capacity. If a truck breaks down, the workflow catches the status change and immediately alerts the garage. You can add human-in-the-loop approvals for expensive re-routes. When the agent decides to reassign a load using `get_driver` data, Mastra pauses the MCP tool execution. A dispatcher clicks approve, and the workflow resumes the assignment.

Resilient territory checks

Customers constantly try to book outside your delivery zones. Mastra catches this early. The workflow runs `get_service_area` before attempting any writes. If the address is out of bounds, the agent branches to a rejection path and emails the user. The integration pulls active zones using `list_service_areas` and caches the results. You avoid wasting API calls. Mastra manages the state, ensuring your booking pipeline stays fast and doesn't hit rate limits during peak hours.

Setup guide

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

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

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

Install `@mastra/mcp`. Create a new `MCPClient` and pass your Vinkius server URL in the configuration. Call `listTools()` and spread the results into your agent's tool array.

That is exactly what it does. If a `create_booking` call times out, Mastra catches the error. Its built-in workflow engine applies exponential backoff and tries the request again automatically.

You configure `requireToolApproval` on specific tools like `create_booking`. The Mastra workflow pauses execution, waits for a dispatcher to confirm the details, and then fires the request to the MCP server.

Mastra auto-detects the right connection method. It connects to the Vinkius endpoint using Streamable HTTP or SSE, depending on your deployment environment.

Every time your workflow runs `get_driver` to check GPS coordinates, the request executes in a zero-trust sandbox. The Vinkius infrastructure spins up a fresh, isolated environment for the call and destroys it instantly, ensuring your fleet's physical locations are never stored.

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