How to Use the Cedar AI MCP in VS Code Copilot

Q: Can VS Code Copilot query live train inventory in Cedar AI?

Yes. Switch to Agent mode and ask it to run listinventory. It pulls the current railcar list directly into your editor panel.

Q: Can the agent modify work orders?

It can if you ask it to. The MCP Server allows the updateworkorder tool to change the status of a job while you test your application logic.

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Connect Cedar AI MCP to VS Code Copilot

Create your Vinkius account to connect Cedar AI 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 Cedar AI with VS Code Copilot

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Team-wide railcar tracking in VS Code

Adding your Vinkius endpoint to the `.vscode/mcp.json` file gives your whole team access to the `list_inventory` tool. Solo developers rarely build enterprise rail software. You commit the MCP Server config to Git, and the whole squad gets connected instantly. When a junior dev needs to understand the payload for a specific shipment, they just ask Copilot. The agent runs `get_waybill_details` and explains the exact routing instructions. Nobody wastes time begging for sample data in Slack.

Debug train schedules via MCP Server

If a production bug causes missed departure events, you need to see what the API expects. Your AI client triggers `depart_train` in your staging environment to replicate the issue. You stay right next to your error logs while testing the fix. The same workflow applies to inbound manifest trains. Running `arrive_train` lets Copilot see the exact response headers and body. It then spots the mismatch between your parsing logic and the actual API output.

Map work orders and railcar pickups

Writing the interface for yard workers means handling complex physical tasks. Copilot uses `list_work_orders` to pull active switching jobs straight into your chat window. It reads the requirements and suggests the right UI components for the job. You also need to test the completion logic. The agent fires `pickup_cars` and `setout_cars` to simulate a crew moving rolling stock around the yard. This proves your application handles the physical location updates correctly.

Setup guide

Set up Cedar AI 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 Cedar AI 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 Cedar AI tools listed. Try asking: "List my recent Cedar AI transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Cedar AI MCP in VS Code Copilot

Add your Vinkius URL to the .vscode/mcp.json file in your repository root. Once committed, any developer who pulls the repo gets immediate access to the tools.

Yes. Switch to Agent mode and ask it to run list_inventory. It pulls the current railcar list directly into your editor panel.

You need VS Code version 1.96 or higher. You also need a valid Vinkius endpoint token for authentication.

It can if you ask it to. The MCP Server allows the update_work_order tool to change the status of a job while you test your application logic.

We built Vinkius for SOC 2 compliant environments. Your proprietary waybill routes and train manifests process through ephemeral sandboxes that discard all state the millisecond the request finishes.

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