How to Use the Shipday MCP in LlamaIndex
Build knowledge-augmented Shipday systems using LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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 It treats live operational data like historical documents.
Set up Shipday MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Shipday MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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
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