How to Use the McLeod Software MCP in OpenAI Agents SDK
Build safe, production-grade logistics agents using the OpenAI Agents SDK and your McLeod Software data.
Works with every AI agent you already use
…and any MCP-compatible client
Connect McLeod Software MCP to OpenAI Agents SDK
Create your Vinkius account to connect McLeod Software to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automated order and dispatch oversight
Your agent tracks every load using `list_orders` and `get_order` to maintain real-time visibility. It flags discrepancies before they impact your delivery schedule. You avoid manual lookups by letting the agent query `list_dispatches` directly. It handles the heavy lifting while you focus on exceptions.
Carrier and driver management for OpenAI Agents SDK
The agent identifies available capacity by scanning `list_drivers` and `list_carriers` in one pass. It matches the right equipment to your specific route requirements without hesitation. Everything stays within your defined safety guardrails. The agent confirms availability against `list_movements` before proposing any assignment changes.
Structured data interaction with MCP Server
Your agent uses `list_customers` to verify account status and credit terms instantly. It pulls precise data from the system, ensuring your team has the facts. All tool calls are traceable through the OpenAI dashboard. You see exactly how the MCP Server processes your request and where the data originated.
Set up McLeod Software MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all McLeod Software tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives McLeod Software tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate McLeod Software tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="McLeod Software Agent",
instructions="You have access to McLeod Software tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by McLeod Software. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about McLeod Software MCP in OpenAI Agents SDK
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