3,400+ MCP servers ready to use
Vinkius

Bring Railway Management
to Claude Code

Learn how to connect Cedar AI to Claude Code and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Arrive TrainDepart TrainGet Railcar DetailsGet Waybill DetailsGet Work Order DetailsList InventoryList WaybillsList Work OrdersPickup CarsSetout CarsUpdate Railcar StatusUpdate Work Order
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the 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.

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.

How it works

1. Subscribe to this server
2. Enter your Cedar AI API Key (found in your developer settings)
3. Start managing your railway ecosystem from Claude, Cursor, or any MCP client

Who is this for?

  • Railroad Operators & Terminal Managers — quickly check yard inventory and record car movements via simple AI queries.
  • Logistics Coordinators — monitor waybills and manage work orders across different tracks directly from the workspace.
  • Fleet Managers — track railcar statuses and conditions to optimize equipment availability via the AI assistant.

Built-in capabilities (12)

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

Why Claude Code?

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.

  • —

    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

See it in action

Cedar AI in Claude Code

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Cedar AI and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Cedar AI to Claude Code through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for Claude Code →
Enterprise Security

Why teams choose Vinkius for Cedar AI in Claude Code

The Cedar AI 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Claude Code only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Cedar AI details →
Cedar AI
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

The Vinkius Advantage

How Vinkius secures Cedar AI for Claude Code

Every tool call from Claude Code to the Cedar AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

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.

05

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.

06

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.

07

Command not found: claude

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

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable