Bring Railway Management
to OpenAI Agents SDK
Learn how to connect Cedar AI to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
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)
Record train arrival
Record train departure
Get details for a specific railcar
Get details for a specific waybill
Get details for a specific work order
List railcars currently in inventory
List waybills
List work orders
Record removal of cars
Record placement of cars
g., Bad Order, Clean, Loaded/Empty). Update status of a railcar
Update a work order
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 12 tools from Cedar AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cedar AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Cedar AI in OpenAI Agents SDK
Cedar AI and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Cedar AI to OpenAI Agents SDK 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Cedar AI in OpenAI Agents SDK
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 OpenAI Agents SDK 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.
* 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
How Vinkius secures
Cedar AI for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Cedar AI MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.