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Cedar AI

Cedar AI MCP for AI. Manage Rail Yard Movements in Natural Conversation

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Cedar AI MCP on Cursor AI Code EditorCedar AI MCP on Claude Desktop AppCedar AI MCP on OpenAI Agents SDKCedar AI MCP on Visual Studio CodeCedar AI MCP on GitHub Copilot AI AgentCedar AI MCP on Google Gemini AICedar AI MCP on Lovable AI DevelopmentCedar AI MCP on Mistral AI AgentsCedar AI MCP on Amazon AWS Bedrock

Connect to your AI in seconds.

Cedar AI manages your entire rail logistics operation through conversation. This MCP connects directly to your railway management account, letting you track car movements, check waybill data, and manage work orders just by talking to your agent.

Need to know where a train is? Want to update a car's status? You get the answer instantly without logging into five different dashboards.

What your AI can do

Arrive train

Logs when an entire train enters the terminal facility.

Depart train

Logs when a train leaves the terminal facility.

Get railcar details

Pulls specific metadata and status for one railcar you name.

+ 9 more capabilities included
Get Yard Inventory Status

List every railcar currently on site and pull up detailed information for any specific unit.

Log Rail Movements

Record when cars are placed (setout) or removed (pickup) from a specific yard location or track.

Review Shipping Documents

List and check the details of waybills to understand shipment routes, commodities, and instructions.

Manage Work Order Lifecycle

View and update work orders, tracking tasks associated with a specific movement instruction.

Track Train Arrivals and Departures

Record when an entire train enters or leaves the facility to keep your overall system count accurate.

Included with Plan

Waiting for input…

AI Agent

Cedar AI with 12 Tools

Use these twelve tools to log everything from car placements and train arrivals to detailed shipment lookups and asset condition updates.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Cedar AI on Vinkius

Arrive Train

Logs when an entire train enters the terminal facility.

Depart Train

Logs when a train leaves the terminal facility.

Get Railcar Details

Pulls specific metadata and status for one railcar you name.

Get Waybill Details

Retrieves the full shipment details, including origin and destination, for a...

Get Work Order Details

Shows all information related to one work order ID, including tasks and history.

List Inventory

Presents a full list of every railcar currently registered in the yard.

List Waybills

Lists all available waybill numbers for review.

List Work Orders

Displays a list of active and completed work orders.

Pickup Cars

Records the removal of cars from their current location in the yard.

Setout Cars

Logs the placement of a group of cars into a specific track or customer spot.

Update Railcar Status

Changes the official condition tag (like 'Bad Order' or 'Loaded') for a railcar unit.

Update Work Order

Modifies the details or status of an existing work order.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Cedar AI integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Cedar AI, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,100+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week
Cedar AI MCP server cover

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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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Tracking rail yard movements used to mean too many clicks.

Today, if a car needs to move from the main track to a customer spot, you gotta jump between four different applications. You check inventory in one tab, log the movement in another system's form, then update the work order status manually, and finally notify someone via email just so they know it's done. It’s slow, and someone always forgets a step.

With this MCP, you tell your agent what needs to happen—for instance, 'Move TBOX 101 from Track A to Customer Spot B.' The system handles the sequence: it checks inventory first, executes the `setout_cars` record, and updates the work order status all in one go. You just get a confirmation that it's done.

Cedar AI MCP gives you real-time visibility into asset conditions.

Before this, if an employee found damage on a car, they had to find the physical log sheet, write down the car number and condition code (Bad Order, Empty/Loaded), then manually call maintenance. That data sat in a silo until someone transcribed it.

Now, you just tell your agent: 'Update status for TBOX 102 to Bad Order.' The system runs `update_railcar_status` instantly. You don't wait; the record changes right when you say it.

What your AI can actually do with this

Coordinating rail operations used to mean juggling multiple screens: checking inventory in one tab, looking up shipping details in another, and then emailing a separate request just to change a work order status. Now, you can handle it all through natural conversation. You simply ask your agent what you need—like 'What cars are waiting at Track 3?' or 'Show me the next steps for waybill WB-88231.' The system pulls that data right from Cedar AI and gives you a clear answer.

Whether you're using Claude, Cursor, or any other MCP-compatible client, your agent handles the complexity in the background. Connecting to this service via Vinkius means you get immediate access to all of these core functions without needing complex middleware. You manage everything from logging train arrivals to updating asset conditions—all while staying in your familiar chat interface.

Built · Hosted · Managed by Vinkius Cedar AI MCP - Track Rail Assets & Logistics
Server ID 019dd0ca-5d68-7349-a0c5-5d9a0f0cb2de
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

How do I check a car's status with get_railcar_details? +

You give the agent the railcar number. It pulls all metadata for that specific unit, including its current condition and location history. This is useful if you only know the car ID but not where it is.

Can I use list_inventory to see everything? +

Yes, list_inventory gives you a full roster of every railcar currently in your yard. You can then ask follow-up questions about specific units found in that list.

Does setout_cars update the work orders? +

Yes, logging the placement of cars with setout_cars updates both the physical inventory record and helps keep associated work order tasks synchronized with the actual movement.

What is the difference between list_waybills and get_waybill_details? +

list_waybills just gives you a rundown of all waybill numbers available. You must use get_waybill_details to pull up the actual content, like shipping routes or commodities.

What credentials do I need before running `list_inventory`? +

You must provide a valid Cedar AI API key. This MCP authenticates using that key to connect to your specific railway management account. Don't worry about refreshing the key; Vinkius handles secure storage and passing it to the tool.

What happens if I run `get_railcar_details` for a non-existent railcar ID? +

The system returns a specific error message indicating that no record was found. It won't crash your agent; it just tells you the identifier is invalid, allowing your workflow to continue or flag the issue.

How does `arrive_train` handle logging a full train arrival? +

It logs the entire event as a single transaction. You supply the group of cars and the location, and it records the synchronized time stamp for every car in that consist.

What fields must I provide when using `update_work_order`? +

You need the unique work order ID, along with the specific field you want to change (e.g., status or assigned task). You can also include a comment detailing the update reason.

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.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Cedar AI. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
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