How do I get my McLeod API credentials?

You typically need to contact your internal McLeod admin or partner@mcleodsoftware.com to enable the API and receive your OAuth 2.0 Client ID and Secret.

What is the Company ID?

The Company ID is a unique string used in the `X-com.mcleodsoftware.CompanyID` header to identify your specific TMS database/company.

Is my transportation data secure?

Absolutely. Your credentials are encrypted at rest and injected securely at runtime.

McLeod Software MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: McLeod Software
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect McLeod Software through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to McLeod Software "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in McLeod Software?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

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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 McLeod Software MCP Server

Connect your McLeod Software LoadMaster or PowerBroker instance to any AI agent and take full control of your transportation management through natural conversation.

Pydantic AI validates every McLeod Software tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Order Management — List all orders, search by term, and fetch detailed shipment metadata
Dispatch Orchestration — Monitor active dispatches, movements, and driver assignments in real-time
Entity Management — List and inspect master records for customers, carriers, and company drivers
Operational Visibility — Access stop-level details for movements and detailed dispatch configurations

The McLeod Software MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 McLeod Software to Pydantic AI via MCP

Follow these steps to integrate the McLeod Software MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from McLeod Software with type-safe schemas

Why Use Pydantic AI with the McLeod Software MCP Server

Pydantic AI provides unique advantages when paired with McLeod Software through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your McLeod Software integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your McLeod Software connection logic from agent behavior for testable, maintainable code

McLeod Software + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the McLeod Software MCP Server delivers measurable value.

Type-safe data pipelines: query McLeod Software with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple McLeod Software tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query McLeod Software and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock McLeod Software responses and write comprehensive agent tests

McLeod Software MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect McLeod Software to Pydantic AI via MCP:

get_dispatch_details

Get details for a specific dispatch

get_order

Get details for a specific order

list_carriers

List master carrier records

list_customers

List master customer records

list_dispatches

List dispatch assignments

list_drivers

List all drivers

list_movements

List truckload movements

list_orders

List all transportation orders

list_stops

List stops for a movement

search_orders

Search for orders by term

Example Prompts for McLeod Software in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with McLeod Software immediately.

"List the last 5 transportation orders."

"Search for orders related to 'Chicago'."

"What is the status of dispatch assignment ID 555?"

Troubleshooting McLeod Software MCP Server with Pydantic AI

Common issues when connecting McLeod Software to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

McLeod Software + Pydantic AI FAQ

Common questions about integrating McLeod Software MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your McLeod Software MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.