How to Use the McLeod Software MCP in AutoGen

Q: How do agents debate McLeod Software data in AutoGen?

They pass tool outputs back and forth. One agent calls listorders to present a load, and the other argues for or against a specific driver assignment.

Debate your logistics strategy with AutoGen agents using real-time McLeod Software dispatch and carrier data.

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Connect McLeod Software MCP to AutoGen

Create your Vinkius account to connect McLeod Software to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup McLeod Software with AutoGen

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Perplexity

Multi-agent dispatch debate in AutoGen

Set your agents to negotiate dispatch assignments. One agent evaluates `list_dispatches` for urgency, while another checks `list_drivers` for availability. They debate the best fit until they reach a consensus. This prevents impulsive assignments and ensures every load meets your specific operational constraints.

Order verification in AutoGen

Verify complex orders through agent consensus. Your agents call `get_order` and cross-reference the details against `list_customers` to flag potential billing or route errors. They challenge each other on data discrepancies. This process catches mistakes that a single agent might overlook during standard processing.

Carrier negotiation in AutoGen

Use agents to manage your carrier relationships. Agents analyze performance data from `list_carriers` to decide which partner gets priority for specific `list_movements`. They push for the best rates and service levels. By simulating a debate, the system finds the most logical carrier for each route based on real-time data.

Setup guide

Set up McLeod Software MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes McLeod Software tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="McLeod Software_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent McLeod Software data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="McLeod Software_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent McLeod Software data")
    print(result.messages[-1].content)

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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.

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Common questions about McLeod Software MCP in AutoGen

They pass tool outputs back and forth. One agent calls `list_orders` to present a load, and the other argues for or against a specific driver assignment.

Yes. You create a team of agents that share access to the server. They collaborate to complete tasks like assigning drivers or confirming movement stops.

Only for final sign-off. The agents handle the data gathering via `list_dispatches` and `get_dispatch_details` autonomously before presenting the result to you.

Agents follow your defined system prompt. If they disagree on a route, they compare the `list_stops` data against your constraints until they agree.

Access is restricted to your local agent pool. Data like driver names or customer billing records remains within your private environment during the entire negotiation.

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