How to Use the Skydropx API MCP in LlamaIndex

Q: How do I use Skydropx API with LlamaIndex to compare carrier rates?

After running getquotation, the resulting data is passed to the indexer. Later, you can query your knowledge base using a question like 'Compare quotes for 10kg items,' and the system cites the original API response.

Q: Can LlamaIndex help me track shipment history?

Yes. Every call to gettracking adds context to your index. You can then query, 'What was the status of my package on Tuesday?' and get a grounded answer based on the recorded API data.

Q: How does Skydropx API integrate with LlamaIndex for label management?

By indexing results from listlabels, you create a searchable record of all generated labels. You can ask, 'Which label was created for the XYZ shipment last month?' without needing to run complex database queries.

Q: Is Skydropx API suitable for drafting new shipments with LlamaIndex?

Absolutely. The data generated by createshipment is highly valuable and can be indexed immediately, allowing future queries to reference the draft details or parameters used.

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Setup Skydropx API with LlamaIndex

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Logistics Data Indexing via MCP Server

The output from `get_quotation` isn't just a number; it's data. LlamaIndex indexes this raw quote information into your vector store. You can then query historical rates, answering questions like 'What was the average cost to Mexico City last quarter?' This grounds answers in actual API transaction data, meaning you won't get hallucinations about pricing or service availability.

Querying Shipping Records with LlamaIndex

Instead of just listing shipments, your application can answer complex questions. You query the index using natural language: 'Find all shipments originating in Miami that haven't been tracked since last week.' The tool list (`list_shipments`) feeds this searchable knowledge base. This allows combining unstructured text queries with structured API data, giving context to the results.

Managing Location and Package Knowledge

Need to know if a new warehouse is registered? Indexing the output of `list_locations` makes that knowledge retrievable. Similarly, package templates listed by `list_packages` become part of your searchable index. This means you can combine document retrieval with API data—e.g., 'What are the best packaging options for electronics shipping to São Paulo?'

Setup guide

Set up Skydropx API 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 Skydropx API 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 Skydropx API tools.",
)
response = await agent.run("List recent Skydropx API 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 Skydropx Matrix. 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 Skydropx API MCP in LlamaIndex

After running `get_quotation`, the resulting data is passed to the indexer. Later, you can query your knowledge base using a question like 'Compare quotes for 10kg items,' and the system cites the original API response.

Yes. Every call to `get_tracking` adds context to your index. You can then query, 'What was the status of my package on Tuesday?' and get a grounded answer based on the recorded API data.

By indexing results from `list_labels`, you create a searchable record of all generated labels. You can ask, 'Which label was created for the XYZ shipment last month?' without needing to run complex database queries.

Absolutely. The data generated by `create_shipment` is highly valuable and can be indexed immediately, allowing future queries to reference the draft details or parameters used.

This server touches package tracking status (text/status codes) and shipment IDs. Indexing these records requires careful management to ensure sensitive location details are appropriately masked.

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