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 VS Code Copilot 9 tools — connect in under 2 minutes

Name: Arrivy
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 9 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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.

Download Free Open SourceNo signup required

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.

GitHub Copilot Agent mode brings Arrivy data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 9 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the Arrivy MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Arrivy

Ask Copilot: "Using Arrivy, help me...". 9 tools available

Why Use VS Code Copilot with the Arrivy MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Arrivy through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Arrivy + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Arrivy MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Arrivy MCP Tools for VS Code Copilot (9)

These 9 tools become available when you connect Arrivy to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting Arrivy to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Arrivy + VS Code Copilot FAQ

Common questions about integrating Arrivy MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.