How to Use the Arrivy MCP in VS Code Copilot

Q: Can VS Code Copilot modify my Arrivy tasks?

The agent executes the updatetask command if you instruct it to change a record. It will ask for your confirmation before pushing any modifications to the live schedule.

Share live Arrivy dispatch data across your engineering team directly inside VS Code Copilot.

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Connect Arrivy MCP to VS Code Copilot

Create your Vinkius account to connect Arrivy to VS Code Copilot 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 Arrivy with VS Code Copilot

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Query the Arrivy MCP Server in VS Code

The `list_tasks` and `get_task` tools pull production service tickets straight into your editor's chat panel. Your team asks Copilot why a specific job failed, and it reads the exact error logs from the task record. Debugging webhook failures drops from hours to minutes. The agent compares your local code against the actual payload sitting in the dispatch system.

Standardize customer data access

Invoking `list_customers` gives every developer on your team access to the same staging data. You commit the MCP tool configuration to your repository, and everyone can query client histories without sharing API keys in Slack. Onboarding new engineers happens faster. They clone the repo, open the chat, and immediately have access to the `get_account_check` function to verify their local environment.

Map field locations from the editor

Calling `list_crews` and `list_locations` feeds technician routing data into your workspace. You ask your agent to evaluate a new mapping function, and it runs the code against real truck coordinates. Building route optimization features requires accurate test cases. The MCP agent grabs five active drivers and uses their actual positions to validate your distance calculations.

Setup guide

Set up Arrivy MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Arrivy MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Arrivy tools listed. Try asking: "List my recent Arrivy transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "arrivy-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 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.

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Common questions about Arrivy MCP in VS Code Copilot

Add the MCP server configuration to the .vscode/mcp.json file in your project root. Commit this file to Git, and every developer gets the tools automatically when they pull the repository.

You must switch the chat panel to Agent mode for the tools to execute. Once enabled, the agent can read and write dispatch records autonomously based on your prompts.

The agent executes the update_task command if you instruct it to change a record. It will ask for your confirmation before pushing any modifications to the live schedule.

Your team needs version 1.96 or higher. Older builds lack the MCP framework required to mount external server tools.

Client contact details never persist in our infrastructure. The Vinkius endpoint routes the request through an isolated V8 environment, processes the API exchange, and destroys the container instantly to prevent data leakage.

Use it with your favorite AI tools

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