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Cedar AI MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Arrive Train, Depart Train, Get Railcar Details, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cedar AI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Cedar AI app connector for OpenAI Agents SDK is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Cedar AI Assistant",
            instructions=(
                "You help users interact with Cedar AI. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Cedar AI"
        )
        print(result.final_output)

asyncio.run(main())
Cedar AI
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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

About 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.

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.

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.

The Cedar AI MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Cedar AI tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Cedar AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning railway-management, logistics-optimization, freight-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

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

Connect Cedar AI to OpenAI Agents SDK via MCP

Follow these steps to wire Cedar AI into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Cedar AI

Why Use OpenAI Agents SDK with the Cedar AI MCP Server

OpenAI Agents SDK provides unique advantages when paired with Cedar AI through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Cedar AI + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Cedar AI MCP Server delivers measurable value.

01

Automated workflows: build agents that query Cedar AI, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Cedar AI, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Cedar AI tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Cedar AI to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Cedar AI in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cedar AI immediately.

01

"List all railcars currently in the main yard inventory."

02

"Record a setout of cars 'TBOX 101, TBOX 102' at 'Customer Track 4'."

03

"Show me the details for waybill 'WB-88231'."

Troubleshooting Cedar AI MCP Server with OpenAI Agents SDK

Common issues when connecting Cedar AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Cedar AI + OpenAI Agents SDK FAQ

Common questions about integrating Cedar AI MCP Server with OpenAI Agents SDK.

01

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.
02

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.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.