How do I find my Arrivy API Key?

Log in to your Arrivy account, go to **Settings > Integrations**, and you will find your API Key under the **Developer** or **API** section.

Can I assign a crew to a task via this server?

Yes, you can use the `update_task` tool and provide the crew IDs in the update body to assign or reassign tasks.

Does Arrivy support real-time ETAs?

Yes, Arrivy calculates real-time ETAs based on field personnel location. You can retrieve these via the `get_task` or `list_locations` tools.

Arrivy MCP Server for Cursor 9 tools — connect in under 2 minutes

Name: Arrivy
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 9 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Arrivy and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Arrivy MCP Server

The Arrivy MCP Server empowers your AI agent to coordinate field operations and last-mile delivery directly from your workspace. Seamlessly manage your mobile workforce, track job progress, and engage with customers using natural language.

Cursor's Agent mode turns Arrivy into an in-editor superpower. Ask Cursor to generate code using live data from Arrivy and it fetches, processes, and writes. all in a single agentic loop. 9 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

Key Features

Task Orchestration — List, create, and update service tasks or delivery jobs with real-time status tracking.
Crew Management — Monitor field personnel and resource assignments to ensure efficient job allocation.
Customer Engagement — Manage customer records and sync service history for better communication.
Location Tracking — Access real-time location data and ETAs for your field technicians and delivery drivers.
Digital Workflow — Access data captured in the field, including forms, photos, and status updates.
Seamless Integration — Connect your Arrivy operations with your AI-assisted project management and support workflows.

Benefits for Teams

Operations Managers — Quickly audit active jobs and crew statuses without leaving your AI dashboard.
Dispatchers — Use AI to quickly create and assign new tasks based on customer requests.
Customer Success — Retrieve job history and ETAs instantly to provide accurate updates to clients.

The Arrivy MCP Server exposes 9 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Arrivy to Cursor via MCP

Follow these steps to integrate the Arrivy MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Arrivy

Open Agent mode in chat and ask: "Using Arrivy, help me...". 9 tools available

Why Use Cursor with the Arrivy MCP Server

Cursor AI Code Editor provides unique advantages when paired with Arrivy through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Arrivy + Cursor Use Cases

Practical scenarios where Cursor combined with the Arrivy MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Arrivy MCP Tools for Cursor (9)

These 9 tools become available when you connect Arrivy to Cursor via MCP:

create_customer

Create a new customer record

create_task

Create a new service task in Arrivy

get_account_check

Verify Arrivy account connection

get_task

Get details for a specific task

list_crews

List all field crews and personnel

list_customers

List all customers in the system

list_locations

List all tracked locations

list_tasks

List all service tasks in Arrivy

update_task

Update an existing service task

Example Prompts for Arrivy in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Arrivy immediately.

"List all scheduled tasks for today in Arrivy."

"Create a new task 'Emergency Leak Repair' at '123 Maple St'."

"Show me the status of task ID 'T12345'."

Troubleshooting Arrivy MCP Server with Cursor

Common issues when connecting Arrivy to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Arrivy + Cursor FAQ

Common questions about integrating Arrivy MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.