How to Use the Upper Route Planner MCP in Mastra AI

Q: How can Mastra AI use Upper Route Planner to list all available routes?

You call the listupperroutes tool first. This gives your workflow a complete dataset of current delivery paths that need monitoring or updating.

Q: Does Upper Route Planner provide driver information for Mastra AI workflows?

Yes. You use listupperdrivers to pull a comprehensive list of available drivers and their current status, which is critical for resource allocation steps in your workflow.

Q: How do I check the Upper Route Planner's operational status using Mastra AI?

Begin every complex job by calling checkupperstatus. This validates the connection to the MCP Server, ensuring that all subsequent steps in your multi-step workflow will succeed.

Q: What data type does Upper Route Planner touch when listing routes with Mastra AI?

The server handles delivery route records. When you use listupperroutes, the resulting data is a collection of existing planned paths, complete with stop details.

Build complex delivery workflows handling failures with Mastra AI and Upper Route Planner.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Upper Route Planner MCP to Mastra AI

Create your Vinkius account to connect Upper Route Planner 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.

GDPR Free for Subscribers

Setup Upper Route Planner with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validating API Status

Start any workflow by calling `check_upper_status`. If this tool fails, your Mastra agent can automatically retry the connection or notify an administrator. This builds robust failure handling. If the status is good, you proceed to build out the core logic. The reliability of the MCP Server ensures that subsequent steps don't fail due to connectivity issues.

Creating and Managing Tasks

Use `create_upper_delivery_task` when a workflow needs to submit a new delivery job. If the API rejects the task, your Mastra agent can execute conditional branching—maybe calling another tool or sending an alert. The system automatically handles retries with exponential backoff if the initial attempt fails, ensuring the critical delivery data gets logged.

Gathering Route and Stop Data

`list_upper_routes` pulls all existing paths needed for analysis. Then, you can call `get_upper_route_stop` to isolate a single point of interest within that route. This allows you to build complex decision trees: 'If the stop is in Zone B, then check driver availability using `list_upper_drivers`.' This structured approach handles multiple steps gracefully.

Setup guide

Set up Upper Route Planner 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 Upper Route Planner 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: "upper-route-planner-mcp-client",
  servers: {
    "upper-route-planner-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Upper Route Planner. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Upper Route Planner now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Upper Route Planner MCP in Mastra AI

You call the `list_upper_routes` tool first. This gives your workflow a complete dataset of current delivery paths that need monitoring or updating.

Mastra AI automatically detects the failure and can retry the operation, potentially waiting longer between attempts. This handles transient API errors without human intervention.

Yes. You use `list_upper_drivers` to pull a comprehensive list of available drivers and their current status, which is critical for resource allocation steps in your workflow.

Begin every complex job by calling `check_upper_status`. This validates the connection to the MCP Server, ensuring that all subsequent steps in your multi-step workflow will succeed.

The server handles delivery route records. When you use `list_upper_routes`, the resulting data is a collection of existing planned paths, complete with stop details.

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