McLeod Software MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add McLeod Software as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to McLeod Software. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in McLeod Software?"
)
print(response)
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 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.
LlamaIndex agents combine McLeod Software tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the McLeod Software MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the McLeod Software MCP Server
LlamaIndex provides unique advantages when paired with McLeod Software through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine McLeod Software tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain McLeod Software tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query McLeod Software, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what McLeod Software tools were called, what data was returned, and how it influenced the final answer
McLeod Software + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the McLeod Software MCP Server delivers measurable value.
Hybrid search: combine McLeod Software real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query McLeod Software to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying McLeod Software for fresh data
Analytical workflows: chain McLeod Software queries with LlamaIndex's data connectors to build multi-source analytical reports
McLeod Software MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect McLeod Software to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting McLeod Software to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMcLeod Software + LlamaIndex FAQ
Common questions about integrating McLeod Software MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect McLeod Software 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 McLeod Software to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.