How to Use the DHL MCP in LlamaIndex

Q: How do I index DHL shipping rates in LlamaIndex?

You call getrates through the LlamaIndex McpToolSpec and pass the resulting JSON to your document parser. This indexes live DHL transit times and costs directly into your LlamaIndex vector database.

Q: Can LlamaIndex query DHL customs invoices semantically?

Yes, by pulling documents via getproformainvoice and indexing the text into LlamaIndex. Your LlamaIndex RAG agent can then search customs declarations to answer compliance questions about your DHL shipments.

Q: How do I connect LlamaIndex to the DHL MCP Server?

Install llama-index-tools-mcp, initialize the LlamaIndex BasicMCPClient with your Vinkius MCP endpoint, and convert the tools using totoollistasync before passing them to your LlamaIndex FunctionAgent.

Q: Can LlamaIndex find DHL drop-off locations based on user queries?

Yes, the LlamaIndex agent calls findlocations using the user's coordinates. LlamaIndex then parses the DHL opening hours and available services to recommend the best spot.

Index DHL tracking updates and shipping rates directly into LlamaIndex vector stores for semantic search.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect DHL MCP to LlamaIndex

Create your Vinkius account to connect DHL 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.

GDPR Free for Subscribers

Setup DHL with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index live DHL tracking data into LlamaIndex

Stop letting shipping status sit in isolated silos. This DHL MCP Server lets your LlamaIndex pipeline pull real-time updates via `track_shipment` and index the raw checkpoint data directly into your vector store. Instead of querying DHL APIs repeatedly, your LlamaIndex RAG system searches past delivery logs semantically. Your LlamaIndex agent can instantly answer complex customer questions about DHL customs delays by referencing indexed historical data.

Build DHL RAG apps with LlamaIndex

Combine static warehouse documents with live DHL shipping APIs. Use the LlamaIndex MCP Server with McpToolSpec to expose `get_rates` and `find_locations` directly to your query engines, allowing your LlamaIndex pipeline to mix file data with real-time shipping costs. When a user asks for the nearest DHL drop-off point, LlamaIndex pulls the user's stored profile, queries `find_locations`, and returns the exact hours and services available nearby, fully grounded in live DHL API responses.

Ground DHL shipping labels in verified address data

Hallucinated addresses destroy shipping budgets. By integrating `validate_address` into your LlamaIndex index ingestion pipeline, you check every recipient location against DHL standards before it ever hits your database. If the DHL tool flags an issue, the LlamaIndex pipeline halts the indexing process. This ensures that when your LlamaIndex agent eventually calls `create_shipment`, it uses 100% verified, standardized address structures, preventing costly DHL return-to-sender fees.

Setup guide

Set up DHL MCP in LlamaIndex

Prerequisites

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

1

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

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all DHL MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
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 DHL tools.",
)
response = await agent.run("List recent DHL data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by DHL. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect DHL now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DHL MCP in LlamaIndex

You call `get_rates` through the LlamaIndex McpToolSpec and pass the resulting JSON to your document parser. This indexes live DHL transit times and costs directly into your LlamaIndex vector database.

Yes, by pulling documents via `get_proforma_invoice` and indexing the text into LlamaIndex. Your LlamaIndex RAG agent can then search customs declarations to answer compliance questions about your DHL shipments.

Install `llama-index-tools-mcp`, initialize the LlamaIndex BasicMCPClient with your Vinkius MCP endpoint, and convert the tools using `to_tool_list_async` before passing them to your LlamaIndex FunctionAgent.

Yes, the LlamaIndex agent calls `find_locations` using the user's coordinates. LlamaIndex then parses the DHL opening hours and available services to recommend the best spot.

Yes, Vinkius executes all DHL address validation and shipping tools inside ephemeral, isolated containers. Your LlamaIndex customer addresses and shipping labels never persist in the execution environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript