DHL MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DHL as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 DHL. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in DHL?"
)
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 DHL MCP Server
What you can do
Connect AI agents to the DHL Express Enterprise API for global supply chain visibility:
LlamaIndex agents combine DHL tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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.
- Track shipments: Audit real-time checkpoints, transit statuses, and projected delivery hours.
- Get shipping rates: Evaluate instant Express Worldwide and Economy quotes before issuing AWB.
- Create shipments: Dispatch logistics algorithms setting sender/recipient vectors automatically.
- Validate compliance: Certify delivery postal codes mapping to functional address routes cross-border.
- Find service nodes: Query precise GPS mapping of close DHL drop-off or pickup spots.
The DHL MCP Server exposes 6 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 DHL to LlamaIndex via MCP
Follow these steps to integrate the DHL 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 6 tools from DHL
Why Use LlamaIndex with the DHL MCP Server
LlamaIndex provides unique advantages when paired with DHL through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DHL tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DHL tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DHL, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DHL tools were called, what data was returned, and how it influenced the final answer
DHL + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DHL MCP Server delivers measurable value.
Hybrid search: combine DHL real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DHL 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 DHL for fresh data
Analytical workflows: chain DHL queries with LlamaIndex's data connectors to build multi-source analytical reports
DHL MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect DHL to LlamaIndex via MCP:
create_shipment
Requires shipper/recipient details, package weight, and service type. Use this to generate labels for outbound shipments. Returns the tracking number and label document URL. Create a DHL shipment and generate a shipping label
find_locations
Includes address, opening hours, and services available. Use this to find where to drop off a package or visit a DHL center. Find nearby DHL service locations
get_proforma_invoice
Use this for customs clearance documentation or proof of value. Retrieve the proforma invoice document for a DHL shipment
get_rates
g., Express Worldwide, Economy Select) between origin and destination. Requires origin/recipient addresses and package details (weight, dimensions). Use this to compare shipping costs and delivery speeds. Get shipping rates and transit times for DHL services
track_shipment
Returns current status, delivery estimate, and detailed checkpoints (origin, destination, customs, etc.). Requires the 10-digit tracking number (e.g., 1234567890). Use this to monitor international or domestic deliveries. Track a DHL shipment by tracking number
validate_address
Returns standardized address format and suggestions if the address is incorrect. Use this to prevent delivery failures before creating a shipment. Validate a DHL shipping address
Example Prompts for DHL in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DHL immediately.
"Investigate the real-time exact customs and logistics status for DHL waybill 1928374650."
"Evaluate the logistics rates for sending a 5-kilogram package from ZIP 10001 (US) to ZIP 80331 (DE)."
"Where is the closest official DHL drop-off service center near ZIP 90210?"
Troubleshooting DHL MCP Server with LlamaIndex
Common issues when connecting DHL to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDHL + LlamaIndex FAQ
Common questions about integrating DHL 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 DHL with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
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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 DHL to LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.