How to Use the Cedar AI MCP in Cline

Q: Can Cline build a web interface using Cedar AI data?

Yes. Cline fetches railcar details using getrailcardetails and writes the React or HTML code to display it. It builds the frontend and connects the backend in one go.

Q: Can Cline automate train arrivals using Cedar AI?

Yes. Cline calls arrivetrain to log incoming shipments and can automatically generate a summary file of the cargo in your VS Code workspace. This lets you automate track log updates without leaving your editor.

Q: How does Cline handle physical car movements?

The active Cline agent uses setoutcars and pickupcars to log when railcars are placed on or removed from specific tracks. It keeps your yard map synchronized with real-time activities.

Build custom rail logistics dashboards and run yard operations directly from Cline.

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Connect Cedar AI MCP to Cline

Create your Vinkius account to connect Cedar AI to Cline 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 Cline

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Build Cedar AI Yard Dashboards with Cline

This MCP Server lets Cline pull live Cedar AI data using `list_inventory` and `get_railcar_details` to build custom React dashboards. The Cline agent fetches the active inventory, writes the frontend code, and plugs the real-time rail data straight into your workspace. If the layout breaks, Cline reads the error logs and adjusts how it calls the Cedar AI server. You get a working rail tool for your yard managers without writing a line of CSS yourself.

Automate Cedar AI Waybills in Cline

Cedar AI provides `get_waybill_details` and `list_waybills` so Cline can audit shipping manifests against actual physical inventory. This autonomous agent compares the digital paperwork with the physical reality of what is sitting on your tracks. When it spots a mismatch, Cline writes a quick Python script to highlight the Cedar AI errors. It handles the logistics data extraction and coding tasks in one unified loop.

Manage Cedar AI Work Orders with Cline MCP Server

To handle daily tasks for yard crews, the Cedar AI MCP Server exposes `list_work_orders` and `update_work_order` inside Cline. Your active agent reads incoming train arrivals and writes updated instructions directly to your files. It uses `setout_cars` and `pickup_cars` to update the active Cedar AI work orders as cars move. Cline handles the entire task lifecycle from code generation to database updates.

Setup guide

Set up Cedar AI MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type cedar-ai-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Cedar AI refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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Common questions about Cedar AI MCP in Cline

Yes. Cline fetches railcar details using `get_railcar_details` and writes the React or HTML code to display it. It builds the frontend and connects the backend in one go.

Click the MCP icon in the Cline sidebar, switch to the Marketplace tab, and add the Cedar AI server with one click to start tracking trains. This registers all twelve endpoints instantly.

Yes. Cline calls `arrive_train` to log incoming shipments and can automatically generate a summary file of the cargo in your VS Code workspace. This lets you automate track log updates without leaving your editor.

The active Cline agent uses `setout_cars` and `pickup_cars` to log when railcars are placed on or removed from specific tracks. It keeps your yard map synchronized with real-time activities.

No. Your waybill details and train schedules are processed through an ephemeral V8 sandbox inside your local Cline session. No logistics data is stored or shared with external parties outside your immediate query.

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