Cedar AI MCP. Manage yard assets and track rail movements instantly.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Cedar AI MCP Server processes railway operations. It lets your AI client track railcars, manage inventory, and handle logistics documentation by calling tools like `list_inventory` and `get_waybill_details`.
You can record car movements (setouts/pickups), track train arrivals/departures, and update railcar statuses directly from your chat interface.
What your AI agents can do
Arrive train
Records the arrival of a train at the facility.
Depart train
Records the departure of a train from the facility.
Get railcar details
Retrieves the specific metadata and status for one railcar.
Use list_inventory to list all railcars in your yard, or get_railcar_details to check the status and metadata of a specific unit.
Record car placements using setout_cars, or log car removals with pickup_cars, updating the facility's inventory count automatically.
Query specific shipments by using get_waybill_details or listing all available shipments with list_waybills.
Retrieve work order details with get_work_order_details, or update the status of an existing work order using update_work_order.
Change the status of a railcar (e.g., Bad Order, Loaded) using update_railcar_status.
Log train movements with arrive_train or depart_train to keep the operational records current.
Ask AI about this MCP
Supported MCP Clients
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Cedar AI MCP Server: 12 Tools for Rail & Asset Management
These tools let you manage the entire rail lifecycle—from listing inventory and tracking movements to updating work orders and waybills—all through structured commands.
019dd0caarrive train
Records the arrival of a train at the facility.
019dd0cadepart train
Records the departure of a train from the facility.
019dd0caget railcar details
Retrieves the specific metadata and status for one railcar.
019dd0caget waybill details
Fetches detailed information for a specific shipment waybill.
019dd0caget work order details
Gets the current status and details for a specific work order.
019dd0calist inventory
Retrieves a list of all railcars currently logged in the facility's inventory.
019dd0calist waybills
Lists all available waybill records for a given time frame or customer.
019dd0calist work orders
Retrieves a list of all existing work orders for the facility.
019dd0capickup cars
Records the removal (pickup) of specified railcars from the facility.
019dd0casetout cars
Records the placement (setout) of specified railcars onto a track.
019dd0caupdate railcar status
Changes the physical condition or status of a railcar, like setting it to 'Bad Order' or 'Empty'.
019dd0caupdate work order
Modifies the status or associated tasks of a specific work order.
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
Make Your AI Do More
Start with Cedar AI, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
You're running rail operations, so you need to know exactly where every car is and what it's doing. This server lets your AI client manage the entire yard flow—from tracking individual railcars to logging train movements and handling all the paperwork. You'll use it to keep your operational records current just by talking to your agent.
Track Railcar Location and Status
To see everything in the yard, call list_inventory to get a list of every railcar currently logged in the facility. You can check the specific metadata and status of a single unit by running get_railcar_details. If you need to change a car's condition—say, marking it 'Bad Order' or 'Empty'—you'll use update_railcar_status.
Manage Car Movements
Need to record where a car went? Use setout_cars to log a placement onto a track, or use pickup_cars to record its removal. These calls automatically update the facility's inventory count. You can also manage train movements by logging arrivals with arrive_train or departures with depart_train, keeping the operational record spot on.
Review Shipment Details
For shipping paperwork, you can list all available waybill records using list_waybills for a specific time frame or customer. To get the full story on one shipment, you'll run get_waybill_details.
Control Work Orders
You can pull up a list of all existing work orders using list_work_orders. To check a specific order's current status and details, you'll run get_work_order_details. If an order changes, you can modify its status or associated tasks with update_work_order.
How Cedar AI MCP Works
- 1 Subscribe to the Cedar AI server and enter your API Key in your developer settings.
- 2 Use your AI client (like Claude or Cursor) to initiate a command, such as 'List all cars in the main yard.'
- 3 The agent invokes the necessary tool (e.g.,
list_inventory) and returns the structured data, allowing you to confirm the current railcar inventory and status.
The bottom line is, your AI client handles the API calls and returns the logistics data you need, all through natural conversation.
Who Is Cedar AI MCP For?
This is for the railroad ops engineer who spends all day cross-referencing physical rail movements with digital paperwork. It’s for terminal managers and logistics coordinators who need immediate visibility into yard inventory, work order status, and waybill data without opening a dozen separate terminal screens.
Quickly check yard inventory and record car movements via simple AI queries. Logs train arrivals and departures.
Monitor waybills and manage work orders across different tracks directly from the chat interface. Tracks asset conditions.
Tracks railcar statuses and conditions to optimize equipment availability. Manages the full lifecycle of assets.
What Changes When You Connect
- See immediate inventory counts. Using
list_inventorylets you know exactly how many railcars are in the yard right now, eliminating manual count discrepancies. - Track asset changes instantly. When a car moves, use
setout_carsorpickup_carsto log the exact placement or removal, keeping your inventory accurate. - Get full shipment context. The
get_waybill_detailstool fetches everything about a shipment—route, commodity, flatcars—without needing multiple lookups. - Stay ahead of maintenance. You can proactively update a car’s condition using
update_railcar_statusif you notice it's a bad order, logging the change instantly. - Control the workflow. Use
list_work_ordersto see all pending tasks, then useupdate_work_orderto move a specific task to 'complete'—all in one conversation. - Keep records clean. By running
arrive_trainordepart_train, you ensure the master logs reflect real-time operational changes, which is critical for billing.
Real-World Use Cases
Inventory Check: What's actually in the yard?
The terminal manager needs to know the count of available flatcars before dispatching a load. They ask the agent to run list_inventory. The agent returns a list of all railcars, their current status, and metadata, letting the manager confirm the exact count and condition at a glance.
Dispatching a Shipment: Logging car movements
A train needs to be assembled at Customer Track 4. The ops engineer uses the agent to run setout_cars for the required units. The agent logs the placement, and the inventory status updates, confirming the cars are ready for the scheduled pickup.
Investigating a Shipment: Checking waybill history
A logistics coordinator gets a complaint about a shipment. They ask the agent to check the waybill by running get_waybill_details. The agent pulls the full record, showing the commodity, origin, and destination, allowing the coordinator to quickly investigate the issue without calling multiple departments.
Closing Out a Work Order: Updating asset status
The maintenance crew finishes servicing a car. Instead of filling out a paper form, the foreman tells the agent to run update_railcar_status for that specific unit, marking it as 'Clean' or 'Loaded'. This action immediately updates the central record.
The Tradeoffs
Calling multiple tools sequentially
Trying to check a railcar’s history by manually running get_railcar_details first, then calling get_waybill_details with the ID found, and then manually checking list_work_orders to see if it was associated. This requires remembering the right tool for every piece of data.
→
Let your AI client manage the sequence. Tell the agent: 'Find the waybill for car TBOX 1234.' The agent handles calling get_railcar_details and get_waybill_details in the right order, stitching the information together for you.
Assuming data overlap
If a car is moved, the user might only run pickup_cars but forget to run update_railcar_status to mark it as 'Empty'. The inventory record is wrong, and the system doesn't know its true availability.
→
Always confirm the full cycle. After logging the pickup with pickup_cars, follow up immediately by asking the agent to update_railcar_status to ensure the new condition is logged. Never stop at just one tool call.
Ignoring operational flow
Just running list_inventory gives you a snapshot, but it doesn't tell you why a car is sitting there. You need to know if it's waiting for a work order or if it's just sitting idle.
→
Combine tools. Ask the agent: 'List all cars that are currently in the yard and are associated with an open work order.' This requires the agent to chain list_inventory with list_work_orders.
When It Fits, When It Doesn't
Use this server if your job involves coordinating physical assets that have digital paperwork attached. If you constantly have to cross-reference a physical movement (Did the car move?) with a document (Is the waybill ready?) or a task (Is the work order complete?), this is for you. You're managing a flow, not just a database.
Don't use this if you are only dealing with single, isolated functions, like just checking an address or confirming a payment. For those, a simple form or a dedicated financial tool is better. This tool set is built for complex, sequential operations involving multiple types of assets (cars, paperwork, tasks).
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 server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking rail assets means jumping between inventory screens, movement logs, and waybill details.
Today, you pull up the yard management system to count cars. Then, you open the logistics module to check the waybill associated with those cars. After that, you have to jump into the work order system just to see if maintenance is scheduled. You spend minutes copying IDs and switching tabs just to get a full picture of one train's status.
With the Cedar AI MCP Server, you just tell your agent what you need. The agent handles the transitions. You ask, 'What's the status of the assets connected to waybill WB-88231?' The agent runs `get_waybill_details`, checks `list_inventory`, and reports back everything in a single, conversational answer.
The Cedar AI MCP Server lets you update railcar status with `update_railcar_status`.
Previously, if a car was found to be 'Bad Order' during a check, you had to find the car's ID in the inventory system, then manually log the change on a separate maintenance sheet, and finally notify the yard supervisor. It was three different systems and three different forms.
Now, you tell your agent, 'Update railcar TBOX 1234 to Bad Order.' It runs `update_railcar_status` and updates the central record instantly. The status change is logged, and the system knows the car's new state, period.
Common Questions About Cedar AI MCP
How do I use the `list_inventory` tool to check the yard? +
Just ask your agent to 'list all railcars in the main yard.' The agent calls list_inventory and gives you a full list, including the car ID, current status, and type. You don't need to know the tool name.
What is the difference between `setout_cars` and `pickup_cars`? +
setout_cars logs the placement of cars onto a specific track. pickup_cars logs the removal of cars from a track. Both are used to update the facility's official count and location.
Can I check waybill details using `get_waybill_details`? +
Yes. Provide the waybill ID, and the agent runs get_waybill_details. It pulls the commodity, origin, destination, and number of units associated with that specific shipment.
How do I update the status using `update_railcar_status`? +
You tell the agent what you want to change. For example, 'Mark railcar BNSF 98765 as Bad Order.' The agent executes update_railcar_status and confirms the change.
Does `list_work_orders` show active tasks? +
Yes. Running list_work_orders shows all work orders. You can then use get_work_order_details to drill down and see the current tasks and status of any specific order.
How do I use `list_waybills` to see all current shipments? +
It shows every waybill record. You'll see the waybill number, commodity, origin, and destination for quick review. This is useful for getting a high-level overview of all active freight.
What information does `get_railcar_details` provide? +
It returns comprehensive metadata for a single railcar. You get the car type, owner, current status, and historical movement data. Use this when you need deep specs on one asset.
How do I manage work orders using `list_work_orders`? +
It lists all existing work order IDs and their current status. You can then use get_work_order_details to see the associated tasks and necessary actions. This helps track the full job lifecycle.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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