Cedar AI Connector for AI agents.
12 live capabilities
Manage railway logistics and track railcar movements in real-time.
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Why people use Cedar AI
Cedar AI Railway Logistics Management
This Connector lets you handle those tasks through a simple conversation. You can ask your AI agent to check inventory, update a car's Bad Order status, or log a train arrival without ever opening a browser tab. You get a clear view of your operations without the clicking fatigue.
What Vinkius changes
You get a conversational interface for your railway logistics data.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Checking yard inventory for a specific unit
A terminal manager needs to know what's in the yard.
- Real-world use case 02
Logging a new shipment arrival
A coordinator uses arrive_train to log a new entry and then queries list_waybills to see what needs to be unloaded from the shipment.
- Real-world use case 03
Moving cars to customer tracks
An operator tells the AI to use setout_cars to move two specific units to Customer Track 4, updating the yard status instantly.
Complete set · 12capabilities
The complete Cedar AI capability set.
These are the exact actions your AI can choose when you ask it to work with Cedar AI.
01—04
4 capabilities in this set.
Part of 12 available through Cedar AI.
- 01 Capability
Get waybill details
Get details for a specific waybill. This shows you shipping instructions and routes. It helps you see what's on a specific shipment.
- 02 Capability
Setout cars
Record placement of cars. This logs when a railcar is set out on a track. It helps you track specific car movements.
- 03 Capability
Arrive train
Record train arrival. This helps you log every train entering your facility. It keeps your yard inventory accurate in real-time.
- 04 Capability
Get work order details
Get details for a specific work order. This shows the status and tasks for a movement instruction. You can check progress at a glance.
05—08
4 capabilities in this set.
Part of 12 available through Cedar AI.
- 05 Capability
List inventory
List railcars currently in inventory. This shows every railcar currently in your facility. It's the fastest way to see your total yard stock.
- 06 Capability
List waybills
List waybills. This gives you a list of all active waybills. Use it to see what shipments are currently in the system.
- 07 Capability
List work orders
List work orders. This shows all current work orders. You can monitor the lifecycle of movement instructions easily.
- 08 Capability
Pickup cars
Record removal of cars. This logs when a railcar is picked up. It keeps your inventory counts accurate.
09—12
4 capabilities in this set.
Part of 12 available through Cedar AI.
- 09 Capability
Update railcar status
Update status of a railcar. This changes a car's condition to Loaded, Empty, or Bad Order. It keeps your asset data current.
- 10 Capability
Update work order
Update a work order. This modifies an existing work order. Use it to change tasks or status as work progresses.
- 11 Capability
Depart train
Record train departure. Use this to log when a train leaves your facility. It ensures your outgoing logs stay up to date.
- 12 Capability
Get railcar details
Get details for a specific railcar. This pulls metadata for a single unit. You can check specific IDs quickly.
Set up in minutes
One URL. Then ask Cedar AI to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Cedar AI from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_PkCPnGLHGN0B18tCS2DF9sCnbSC0482qdW1jHnam/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Cedar AI, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Cedar AI for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_PkCPnGLHGN0B18tCS2DF9sCnbSC0482qdW1jHnam/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Cedar AI URL.
- Step 03
Save and start
Save the connection and enable Cedar AI in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"cedar-ai": {
"url": "https://edge.vinkius.com/vk_preview_PkCPnGLHGN0B18tCS2DF9sCnbSC0482qdW1jHnam/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Cedar AI
Open Agent mode in chat and ask: "Using Cedar AI, help me...". 12 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"cedar-ai": {
"url": "https://edge.vinkius.com/vk_preview_PkCPnGLHGN0B18tCS2DF9sCnbSC0482qdW1jHnam/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Cedar AI
Ask Copilot: "Using Cedar AI, help me...". 12 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"cedar-ai": {
"url": "https://edge.vinkius.com/vk_preview_PkCPnGLHGN0B18tCS2DF9sCnbSC0482qdW1jHnam/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Cedar AI
Open Cascade and ask: "Using Cedar AI, help me...". 12 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"cedar-ai": {
"url": "https://edge.vinkius.com/vk_preview_PkCPnGLHGN0B18tCS2DF9sCnbSC0482qdW1jHnam/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Cedar AI
Ask Cline: "Using Cedar AI, help me...". 12 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add cedar-ai --transport http "https://edge.vinkius.com/vk_preview_PkCPnGLHGN0B18tCS2DF9sCnbSC0482qdW1jHnam/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Cedar AI
Ask Claude: "Using Cedar AI, show me...". 12 tools are ready
Where the request belongs
Work Cedar AI can move forward.
This is for rail operators and terminal managers who are tired of manual data entry and want to see their yard inventory in real-time without clicking through five different menus.
Terminal Manager
Checks yard inventory and records car movements during peak hours to keep the terminal moving.
Logistics Coordinator
Monitors waybills and updates work orders for incoming freight to ensure timely delivery.
Fleet Manager
Tracks railcar conditions and availability to optimize equipment usage across the network.
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Bring your own AI
Change the model, client or framework. Keep Cedar AI connected.
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Claude -
ChatGPT -
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Cursor -
VS Code -
Windsurf -
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Cline -
Zed -
Continue -
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Before you connect
Questions about Cedar AI.
The practical details behind the request, access and result.
What can I do with the Cedar AI MCP?
You can use it to manage your entire railway logistics workflow. This includes tracking railcar inventory, logging train movements, and checking waybill details through a simple chat interface.
How does Cedar AI help with railcar tracking?
It gives you real-time visibility into your yard. You can quickly check which cars are in your inventory, see their current status, and move them between tracks using natural language.
Can I use Cedar AI to manage waybills?
Yes. You can query specific waybills to see shipping instructions, routes, and commodity data without having to dig through your management software's database.
Can I update railcar statuses like Bad Order?
Absolutely. You can tell your AI agent to update a railcar's condition to Loaded, Empty, or Bad Order, and it will update your records immediately.
How do I connect my railway data to an AI agent?
You just need to subscribe to the Cedar AI MCP on Vinkius and provide your API key. From there, your AI client can interact with your railway data directly.
Can Cedar AI handle train arrivals and departures?
Yes, it can record both arrivals and departures. This helps keep your yard inventory and operational logs synchronized as freight moves through your facility.
Is Cedar AI good for terminal managers?
It's specifically designed for terminal managers and rail operators. It streamlines the way you monitor yard inventory and coordinate car movements during busy shifts.
Can I record a railcar movement via AI?
Yes! Use the setout_cars capability 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 capability with the Work Order ID to retrieve the current status, assigned tasks, and completion progress.
One connection away
Give your agent a direct line to Cedar AI.
Connect Cedar AI once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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