How to Use the Cedar AI MCP in Claude Code

Q: How do I configure Cedar AI in Claude Code?

Run claude mcp add --transport http cedar-ai -- in your terminal. This adds the Cedar AI tools to your local CLI configuration.

Q: Can Claude Code handle train departures with Cedar AI?

Yes. Claude Code triggers departtrain to log departures and can pipe the output directly to your terminal logs. You can combine this with standard shell utilities to generate instant local reports.

Q: Is it possible to query waybills directly from the command line?

No problem. Run getwaybilldetails to pull specific shipping documents without leaving your active terminal session. Claude Code formats the raw JSON output for easy reading.

Pipeline your rail logistics and control yard operations right from the Claude Code terminal.

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Setup Cedar AI with Claude Code

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Pipe Cedar AI Railcar Data in Claude Code

The Cedar AI CLI integration uses `get_railcar_details` and `list_inventory` to output raw JSON directly to your Claude Code terminal. You can pipe this logistics data into grep or jq to audit your tracks instantly. Instead of clicking through a slow portal, you query the Cedar AI yard inventory with a single Claude Code command. The terminal agent formats the output exactly how your backend scripts expect it.

Script Cedar AI Train Schedules via Claude Code

Cedar AI lets you automate arrivals and departures using `arrive_train` and `depart_train` directly inside your Claude Code terminal. Claude Code sets up the automation to run every time a physical sensor flags a train crossing. If a train is delayed, the Claude Code agent runs `list_waybills` to find which Cedar AI shipments are impacted and logs the incident. It keeps your terminal-based operations moving without manual intervention.

Batch Update Cedar AI Work Orders with this MCP Server

This MCP Server provides `update_work_order` and `list_work_orders` to let Claude Code handle mass updates from the command line. You can batch-update fifty Cedar AI work orders by piping a text file of IDs straight to the agent. The Claude Code terminal tool uses `pickup_cars` and `setout_cars` to log complex Cedar AI switches in bulk. It cuts down the time spent on manual database entry to seconds.

Setup guide

Set up Cedar AI MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see cedar-ai-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Cedar AI transactions." It will automatically discover and invoke the available Cedar AI tools.

Terminal

claude mcp add --transport http cedar-ai-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Cedar AI MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cedar AI. 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 Cedar AI MCP in Claude Code

Run `claude mcp add --transport http cedar-ai -- ` in your terminal. This adds the Cedar AI tools to your local CLI configuration.

Yes. You can instruct Claude Code to loop through a list of IDs and run `update_railcar_status` on each one directly from the terminal. The tool executes the batch updates sequentially via the Cedar AI MCP Server on each one.

Yes. Claude Code triggers `depart_train` to log departures and can pipe the output directly to your terminal logs. You can combine this with standard shell utilities to generate instant local reports.

No problem. Run `get_waybill_details` to pull specific shipping documents without leaving your active terminal session. Claude Code formats the raw JSON output for easy reading.

Yes. Your train manifests and railcar statuses are handled via a secure, zero-trust connection in your Claude Code terminal. Vinkius ensures that credentials and logs are kept strictly ephemeral and never written to disk.

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