Can I record a railcar movement via AI?

Yes! Use the `setout_cars` tool to record placement or `pickup_cars` for removal. Provide the location name and a list of railcar IDs to log the movement instantly.

How do I see the latest waybills for my shipments?

Run the `list_waybills` query. The agent will retrieve a history of active and completed shipping instructions, including route details and commodity info.

Is it possible to check the status of a specific work order via AI?

Absolutely. Use the `get_work_order_details` tool with the Work Order ID to retrieve the current status, assigned tasks, and completion progress.

INSTANT PLUG AND PLAY

Cedar AI MCP Server for Claude CodeGive Claude Code instant access to 12 tools to Arrive Train, Depart Train, Get Railcar Details, and more

Name: Cedar AI
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools CLI

Claude Code is Anthropic's agentic CLI for terminal-first development. Add Cedar AI as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Use with Your AI Agent

Ask AI about this App Connector for Claude Code

Open in ChatGPT Open in Claude Open in Perplexity

The Cedar AI app connector for Claude Code is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Cedar AI and 3,400+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·bash

# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add cedar-ai --transport http "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 Cedar AI MCP Server

Connect your Cedar AI railway management account to any AI agent and simplify how you coordinate rail operations, track car movements, and manage logistics documentation through natural conversation.

Claude Code registers Cedar AI as an MCP server in a single terminal command. Once connected, Claude Code discovers all 12 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Cedar AI data drives decisions without human intervention.

What you can do

Inventory Management — List all railcars currently in your facility and retrieve detailed metadata and status for individual units.
Car Movement Tracking — Record placements (setouts) and removals (pickups) of railcars at specific locations or tracks.
Logistics Documentation — List and query waybills to understand shipping instructions, routes, and commodity data.
Work Order Control — Manage the lifecycle of movement instructions by listing and updating work orders and associated tasks.
Consist Coordination — Record train arrivals and departures to keep your inventory and operations synchronized.
Status Maintenance — Update railcar tags and conditions (e.g., Bad Order, Empty/Loaded) directly via AI commands.

The Cedar AI MCP Server exposes 12 tools through the Vinkius. Connect it to Claude Code in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Cedar AI tools available for Claude Code

When Claude Code connects to Cedar AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning railway-management, logistics-optimization, freight-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

arrive_train

Record train arrival

depart_train

Record train departure

get_railcar_details

Get details for a specific railcar

get_waybill_details

Get details for a specific waybill

get_work_order_details

Get details for a specific work order

list_inventory

List railcars currently in inventory

list_waybills

List waybills

list_work_orders

List work orders

pickup_cars

Record removal of cars

setout_cars

Record placement of cars

update_railcar_status

g., Bad Order, Clean, Loaded/Empty). Update status of a railcar

update_work_order

Update a work order

Connect Cedar AI to Claude Code via MCP

Follow these steps to wire Cedar AI into Claude Code. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

Add the MCP Server

Run the command above in your terminal

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

Start using Cedar AI

Ask Claude: "Using Cedar AI, show me...". 12 tools are ready

Why Use Claude Code with the Cedar AI MCP Server

Claude Code provides unique advantages when paired with Cedar AI through the Model Context Protocol.

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

Claude Code runs headlessly, enabling unattended batch processing using Cedar AI tools in cron jobs or deployment scripts

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

Cedar AI + Claude Code Use Cases

Practical scenarios where Claude Code combined with the Cedar AI MCP Server delivers measurable value.

CI/CD integration: embed Cedar AI tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

Headless batch processing: schedule Claude Code to query Cedar AI nightly and generate reports without human intervention

Shell scripting: pipe Cedar AI outputs into other CLI tools for data transformation, filtering, and aggregation

Infrastructure monitoring: run Claude Code in a cron job to query Cedar AI status endpoints and alert on anomalies

Example Prompts for Cedar AI in Claude Code

Ready-to-use prompts you can give your Claude Code agent to start working with Cedar AI immediately.

"List all railcars currently in the main yard inventory."

"Record a setout of cars 'TBOX 101, TBOX 102' at 'Customer Track 4'."

"Show me the details for waybill 'WB-88231'."

Troubleshooting Cedar AI MCP Server with Claude Code

Common issues when connecting Cedar AI to Claude Code through the Vinkius, and how to resolve them.

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

Connection timeout

Check your internet connection and verify the Edge URL is reachable

Cedar AI + Claude Code FAQ

Common questions about integrating Cedar AI MCP Server with Claude Code.

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.