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How to Use the Arrivy MCP in Cursor

Build custom dispatch logic by injecting live Arrivy data directly into your code with Cursor.

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Connect Arrivy MCP to Cursor

Create your Vinkius account to connect Arrivy 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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Code with live Arrivy MCP Server data

The `get_task` and `list_tasks` tools let the editor agent read real dispatch records while you write scripts. You ask for a sample payload, and the AI client fetches an actual job ticket from your database. Writing integration tests becomes trivial when you have real data structures in context. The MCP integration maps the JSON response exactly as the API returns it, preventing type errors before you compile.

Automate crew assignments

Running `list_crews` alongside `list_locations` pulls your active technicians and their coordinates into the IDE workspace. You tell the agent to write a sorting algorithm based on distance, and it uses the live coordinate data to test the logic. Guessing schemas for personnel records wastes time. Your editor sees the exact fields for trucks, skills, and availability.

Script bulk customer imports

Executing `create_customer` allows your agent to test database insertion logic on the fly. Highlighting a CSV parsing function prompts the AI client to fire a test record into the staging environment. Checking the result takes one prompt. The MCP protocol verifies your API keys are valid via the `get_account_check` operation before you commit the script to version control.

Setup guide

Set up Arrivy MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 2

    Add the Arrivy 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. 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. 4

    Verify the connection

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

.cursor/mcp.json
{
  "mcpServers": {
    "arrivy-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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

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

Built-in savings

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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 Arrivy MCP in Cursor

Create an mcp.json file in your project root or global settings directory. Paste the Vinkius MCP endpoint configuration and enable Agent mode in the chat panel.
The agent reads the live output from your actual database to build interfaces. You run a list command, and the AI client writes the exact TypeScript definitions for your task objects.
Building custom dashboards or dispatch scripts requires knowing the exact data shapes. Pulling real customer records into your context window stops you from writing code against outdated API documentation.
Mocking is entirely optional now. You instruct the agent to fetch a real service ticket, and it uses that specific payload to validate your business logic.
We protect your technician coordinates and client addresses through a zero-trust architecture. The editor requests the data, the Vinkius sandbox executes the call ephemerally, and the memory drops the payload the second the response completes.

Start using the Arrivy MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 9 tools

We've already built the connector for Arrivy. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 9 tools are live and waiting. You're up and running in seconds.

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