How to Use the Upper Route Planner MCP in Cursor

Q: If I get route stop data, how does Cursor handle it? (Upper Route Planner)

The agent uses the getupperstopdetails tool. It captures the JSON response and presents it directly as executable context within your editor, letting you immediately format it into code.

Q: Can I write a script to check Upper Route Planner status using Cursor?

Absolutely. Write a function that calls checkupperstatus. The agent handles the tool invocation and injects the boolean success/failure result right where your code expects it.

Write code that builds optimized logistics plans using Cursor's agent mode for Upper Route Planner.

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Connect Upper Route Planner MCP to Cursor

Create your Vinkius account to connect Upper Route Planner to Cursor 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 Upper Route Planner with Cursor

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Claude

Perplexity

Build code that lists all scheduled routes with the MCP Server.

When you need to check existing trips, use `list_upper_routes` inside your coding session. The AI agent calls this tool and injects the list of active routes directly into the function you're writing. You can then iterate over those results in real time—no mock data needed. This makes building accurate routing scripts simple.

Check driver availability using Upper Route Planner.

Need to validate which drivers are available for a new deployment? Call `list_upper_drivers`. The AI pulls this live roster and lets you use it in your code's logic flow, immediately after the agent calls the tool. It’s fast context injection. You write the function; the API response fills the variables.

Programmatically create delivery tasks via MCP Server.

Writing a script that needs to inject a new stop? The `create_upper_delivery_task` tool lets you do exactly that. You call it, get the confirmation data (like a task ID), and then use that ID in subsequent lines of code. This direct integration means your generated code always uses real-world API responses from the Upper Route Planner MCP Server.

Setup guide

Set up Upper Route Planner MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Upper Route Planner MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Upper Route Planner transactions." If the MCP tools are loaded correctly, Cursor will call the Upper Route Planner tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "upper-route-planner-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 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.

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Common questions about Upper Route Planner MCP in Cursor

Activate Agent Mode and then prompt it to perform a task, like listing all drivers. The AI will call the appropriate MCP tool (e.g., `list_upper_drivers`) and inject the live data into your current file, allowing you to write code based on real-time results.

You just need to add the server details—either a command/args or a URL—to your project's `.cursor/mcp.json` file, then make sure Agent mode is enabled in chat.

The agent uses the `get_upper_stop_details` tool. It captures the JSON response and presents it directly as executable context within your editor, letting you immediately format it into code.

Absolutely. Write a function that calls `check_upper_status`. The agent handles the tool invocation and injects the boolean success/failure result right where your code expects it.

The server deals with logistical data, including driver schedules, delivery tasks, and specific route stop details. This context is what the agent injects into your working code.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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