How to Use the Shipmondo MCP in LlamaIndex

Q: How can I use Shipmondo with LlamaIndex to find past shipment details?

You index the output of listshipments and getshipment. Later, your LlamaIndex application searches this data store, giving you specific answers about historical shipments without needing a new API call.

Q: Does Shipmondo help with multi-carrier returns in LlamaIndex?

Yes. You can index the results of listreturns and associated order data. This lets you ask, 'What was the standard return process for item X?' and get a knowledge base answer.

Q: Can Shipmondo help me get account balances using LlamaIndex?

You run getaccountbalance and index the result. You'll then query that indexed data to answer questions like, 'What was our available balance on June 1st?'

Q: How does Shipmondo list all available carriers for LlamaIndex?

You call listcarriers and index the returned JSON structure. Your LlamaIndex system can then search that corpus to answer questions about carrier coverage or capabilities.

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Connect Shipmondo MCP to LlamaIndex

Create your Vinkius account to connect Shipmondo 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.

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Setup Shipmondo with LlamaIndex

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Ground API results in your knowledge base.

When you run `get_shipping_quote`, the resulting rate data becomes a searchable document. This means future queries about pricing are answered using actual, current Shipmondo rates, not hallucinations. The developer indexes live API responses alongside internal documents. You build RAG applications where truth is grounded in your operational data.

Query historical shipping configurations.

Need to know what was required for a shipment last quarter? By indexing the output from `get_order` and `list_warehouses`, you can query past sessions. You'll get answers based on actual data, like 'Which warehouse handled returns in Q3?' LlamaIndex turns raw API calls into persistent knowledge that your agent can search against.

Understand complex carrier requirements.

Use `list_carriers` and then index the available details. When a user asks, 'Which carriers service Stockholm?' LlamaIndex doesn't just run the API call; it searches its indexed knowledge of the carriers to provide context. This is powerful for building complex chatbots that need deep domain understanding from your MCP Server.

Setup guide

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

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

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Common questions about Shipmondo MCP in LlamaIndex

You index the output of `list_shipments` and `get_shipment`. Later, your LlamaIndex application searches this data store, giving you specific answers about historical shipments without needing a new API call.

Yes. You can index the results of `list_returns` and associated order data. This lets you ask, 'What was the standard return process for item X?' and get a knowledge base answer.

The server touches shipment rate quotes, order details, and warehouse locations. All these structured outputs can be chunked and turned into a searchable index for your RAG application.

You run `get_account_balance` and index the result. You'll then query that indexed data to answer questions like, 'What was our available balance on June 1st?'

You call `list_carriers` and index the returned JSON structure. Your LlamaIndex system can then search that corpus to answer questions about carrier coverage or capabilities.

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