DCL Logistics 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 DCL Logistics 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 DCL Logistics. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in DCL Logistics?"
)
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 DCL Logistics MCP Server
Integrate DCL Logistics, the leader in third-party logistics (3PL) and fulfillment, directly into your AI workflow. Manage your fulfillment orders, track shipments in real-time, and monitor warehouse inventory levels using natural language.
LlamaIndex agents combine DCL Logistics 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 Oversight — List and retrieve detailed statuses for all your fulfillment orders across DCL facilities.
- Shipment Tracking — Track recent shipments, access carrier details, and monitor delivery progress.
- Inventory Management — Check real-time stock levels for your SKUs and identify low-stock items.
- Return Processing — Monitor customer returns (RMAs) and their processing status directly via chat.
The DCL Logistics 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 DCL Logistics to LlamaIndex via MCP
Follow these steps to integrate the DCL Logistics 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 DCL Logistics
Why Use LlamaIndex with the DCL Logistics MCP Server
LlamaIndex provides unique advantages when paired with DCL Logistics through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DCL Logistics tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DCL Logistics tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DCL Logistics, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DCL Logistics tools were called, what data was returned, and how it influenced the final answer
DCL Logistics + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DCL Logistics MCP Server delivers measurable value.
Hybrid search: combine DCL Logistics real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DCL Logistics 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 DCL Logistics for fresh data
Analytical workflows: chain DCL Logistics queries with LlamaIndex's data connectors to build multi-source analytical reports
DCL Logistics MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect DCL Logistics to LlamaIndex via MCP:
get_account_details
Returns account-level metadata such as company name, service tier, and active warehouse assignments. Retrieve metadata for your DCL Logistics account
get_order_details
Resolves line item details, recipient addresses, and the complete audit trail of order processing events. Get detailed information for a specific order
get_shipment_details
Resolves carrier-level status updates, estimated delivery dates, and proof of delivery (if available). Get tracking and shipping details for a specific shipment ID
get_sku_inventory_status
Provides a detailed breakdown of inventory status, including warehouse locations and any pending stock movements. Get current stock level and status for a specific SKU
list_customer_returns
Returns a list of Return Merchandise Authorizations (RMAs) including return reason, status of the returned goods, and credit processing info. List all processed and pending customer returns (RMAs)
list_fulfillment_orders
Returns order metadata including system IDs, current fulfillment status, and customer identifiers. List all fulfillment orders in your DCL account
list_low_stock_items
Identifies SKUs where the available quantity has fallen below the defined reorder point (e.g., < 10 units). Identify items with inventory levels below a threshold (mock logic)
list_recent_shipments
Returns a collection of shipment objects with associated carrier info, tracking numbers, and departure timestamps. List all shipments processed by DCL
list_warehouse_inventory
Returns a list of SKUs with their total on-hand, available, and reserved quantities. List current inventory levels across all items
search_orders_by_keyword
Matches keywords against order references, customer names, and shipping addresses to isolate specific fulfillment records. Search for orders using a keyword or customer name
Example Prompts for DCL Logistics in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DCL Logistics immediately.
"List all fulfillment orders that are 'Awaiting Shipment'."
"What is the inventory status for SKU 'WR-9988'?"
"Show me the tracking details for shipment 'SHP-1001'."
Troubleshooting DCL Logistics MCP Server with LlamaIndex
Common issues when connecting DCL Logistics to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDCL Logistics + LlamaIndex FAQ
Common questions about integrating DCL Logistics 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 DCL Logistics 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 DCL Logistics to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.