Kargo MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Kargo through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Kargo Assistant",
instructions=(
"You help users interact with Kargo. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Kargo"
)
print(result.final_output)
asyncio.run(main())
* 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 Kargo MCP Server
Connect your Kargo logistics account to your AI agent and optimize your supply chain and loading dock operations through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Kargo through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kargo, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Shipment Tracking — List all shipments for your facility and get real-time status updates and carrier info.
- Order Management — Access facility-wide customer orders and their current status.
- Deep Inspection — Fetch complete metadata for specific shipments or orders using their unique numbers.
- Data Synchronization — Push order and shipment payload data directly to Kargo's Unified Endpoint to keep systems in sync.
- Facility & Device Oversight — List all business facilities and monitor the status of active IoT devices (cameras, sensors).
- Audit Logs — Review the history of data payloads pushed to the platform.
The Kargo MCP Server exposes 10 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.
How to Connect Kargo to OpenAI Agents SDK via MCP
Follow these steps to integrate the Kargo MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Kargo
Why Use OpenAI Agents SDK with the Kargo MCP Server
OpenAI Agents SDK provides unique advantages when paired with Kargo through the Model Context Protocol.
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
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Kargo + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Kargo MCP Server delivers measurable value.
Automated workflows: build agents that query Kargo, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Kargo, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kargo tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Kargo to resolve tickets, look up records, and update statuses without human intervention
Kargo MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Kargo to OpenAI Agents SDK via MCP:
get_carrier_info
Get carrier contact info
get_device_status
Get specific device status
get_order
Get specific order details
get_shipment
Get specific shipment details
list_devices
List facility IoT devices
list_facilities
List all business facilities
list_orders
List facility orders
list_payload_logs
List sync payload logs
list_shipments
List all shipments at the facility
update_logistics
Sync data to Kargo Unified Endpoint
Example Prompts for Kargo in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Kargo immediately.
"List all active shipments for my facility."
"Check the status of all IoT devices in the facility."
"Get details for shipment number SHP-2024-05."
Troubleshooting Kargo MCP Server with OpenAI Agents SDK
Common issues when connecting Kargo to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Kargo + OpenAI Agents SDK FAQ
Common questions about integrating Kargo MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect Kargo with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kargo to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
