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How to Use the Shipday MCP in LlamaIndex

Build knowledge-augmented Shipday systems using LlamaIndex.

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Works with every AI agent you already use

…and any MCP-compatible client

Shipday MCP on Cursor AI Code Editor MCP Client Shipday MCP on Claude Desktop App MCP Integration Shipday MCP on OpenAI Agents SDK MCP Compatible Shipday MCP on Visual Studio Code MCP Extension Client Shipday MCP on GitHub Copilot AI Agent MCP Integration Shipday MCP on Google Gemini AI MCP Integration Shipday MCP on Lovable AI Development MCP Client Shipday MCP on Mistral AI Agents MCP Compatible Shipday MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on LlamaIndex

Connect Shipday MCP to LlamaIndex

Create your Vinkius account to connect Shipday to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Query historical dispatch and order data.

LlamaIndex allows you to index all results from `get_order` or `list_active_orders`. Later, instead of re-running the API call, your agent performs a semantic search against that indexed data. You can ask complex questions about past deliveries. This builds a knowledge graph around your live API calls, letting you query outcomes and configurations from previous sessions.

Build documentation from driver assignments.

When you use `assign_driver`, the output is indexed. This means if someone asks, 'Who was assigned to order 123 last week?', LlamaIndex can retrieve that specific piece of API data and present it as a grounded answer. It transforms raw tool outputs into searchable knowledge base articles for your users.

Analyze multiple tracking progress reports.

If you run `get_tracking_progress` several times, LlamaIndex stores those time-series results. You can then query these stored records to find patterns—like 'When does the delivery usually slow down?'—without needing a dedicated analytics tool. It treats live operational data like historical documents.

Setup guide

Set up Shipday 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 Shipday 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 Shipday tools.",
)
response = await agent.run("List recent Shipday data")

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

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 Shipday MCP in LlamaIndex

You run `get_tracking_progress`, and the resulting status is indexed. Your agent can then query this index later to understand the historical path of a delivery, not just the current status.
Yes. By running `get_order` for several IDs, you can feed all those results into the index. Then, your agent can perform a semantic comparison across all stored records.
First, use `list_active_orders`. Next, index the data returned. The agent can then answer questions about the entire batch of listed IDs using semantic search.
You run `list_drivers` and store that list. Your client can then query this index to find specific capacity or availability details from past dispatch cycles.
The server handles customer details when you use `create_order` and the resulting order status via `update_order_status`. All this PII gets indexed, so index access must be tightly controlled.

Start using the Shipday MCP today

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Built & Managed by Vinkius 30s setup 9 tools

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