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How to Use the DCL Logistics MCP in LlamaIndex

Index your DCL Logistics shipment records into LlamaIndex. Turn live warehouse data into a searchable knowledge base for your agent.

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LlamaIndex

Connect DCL Logistics MCP to LlamaIndex

Create your Vinkius account to connect DCL Logistics to LlamaIndex 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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Index inventory for semantic search

LlamaIndex turns your warehouse data into a queryable index. Use `list_warehouse_inventory` to pull stock levels into your vector store for instant retrieval. Your agent no longer relies on stale reports. It searches your actual inventory status to answer questions grounded in current API data.

Ground responses in shipment records

Stop guessing about delivery status. The server uses `get_shipment_details` to feed carrier info directly into your indexed knowledge base. This allows your agent to provide specific, verified answers. It pulls the exact delivery date from DCL Logistics to satisfy user inquiries.

Query past order performance

Index your audit trails using `get_order_details`. This adds historical context to your LlamaIndex setup, making past events searchable. You can ask your agent about specific fulfillment trends or order issues. It retrieves the data from the index rather than hallucinating details.

Setup guide

Set up DCL Logistics MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all DCL Logistics MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to DCL Logistics tools.",
)
response = await agent.run("List recent DCL Logistics data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DCL Logistics. 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 DCL Logistics MCP in LlamaIndex

The server tools are mapped to your agent, allowing LlamaIndex to ingest the output as documents. These are then converted into vectors for semantic search.
Yes, you can use the allowed_tools filter during setup. This gives you control over what data your agent can access.
It is built for that exact purpose. You combine live API results with your internal documents into a single, unified index.
Yes, the integration supports async tool listing. You can fetch your available tools without blocking your primary application loop.
Data is handled through a secure, ephemeral tunnel. Your account details and warehouse metadata are never stored permanently on our servers.

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