DPD MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Cancel Shipment, Create Shipment, Find Parcelshop, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DPD 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 App Connector for LlamaIndex
The DPD app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 DPD. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in DPD?"
)
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 DPD MCP Server
This MCP server integrates DPD services, allowing you to create shipments, track parcel statuses, and find nearby pickup points. It's designed for businesses that need to automate their shipping workflows efficiently.
LlamaIndex agents combine DPD 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.
The DPD 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.
All 10 DPD tools available for LlamaIndex
When LlamaIndex connects to DPD through Vinkius, your AI agent gets direct access to every tool listed below — spanning DPD, Shipping, Logistics, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Cancel an existing DPD shipment
Provide shipment data as a JSON string. Create a new shipment and generate parcel numbers/labels
Search for DPD Pickup points (ParcelShops) near a location
Retrieve the labels for a specific shipment
Generate or retrieve a manifest for a shipment
Retrieve the tracking status for a specific parcel number
Get the current status and tracking history of a shipment
List supported countries for DPD shipping
List available DPD products and services
Supports filtering by date or status. Provide filters as a JSON string. List recent shipments
Connect DPD to LlamaIndex via MCP
Follow these steps to wire DPD into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the DPD MCP Server
LlamaIndex provides unique advantages when paired with DPD through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DPD tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DPD tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DPD, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DPD tools were called, what data was returned, and how it influenced the final answer
DPD + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DPD MCP Server delivers measurable value.
Hybrid search: combine DPD real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DPD 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 DPD for fresh data
Analytical workflows: chain DPD queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for DPD in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DPD immediately.
"Check the status of parcel 123456789."
"Find DPD pickup points in Berlin."
"Create a shipment from London to Paris."
Troubleshooting DPD MCP Server with LlamaIndex
Common issues when connecting DPD to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDPD + LlamaIndex FAQ
Common questions about integrating DPD MCP Server with LlamaIndex.