How to Use the AfterShip Returns MCP in LlamaIndex

Q: Can LlamaIndex query historical AfterShip Returns records?

Yes, use the listreturns tool to pull past data. LlamaIndex stores these results so you can query them later without hitting the API again.

Index your AfterShip Returns data into LlamaIndex for grounded, searchable insights.

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Connect AfterShip Returns MCP to LlamaIndex

Create your Vinkius account to connect AfterShip Returns 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 AfterShip Returns with LlamaIndex

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Search AfterShip Returns data in LlamaIndex

Run `list_returns` to grab raw request data and feed it into your vector store. Your index now understands the state of every pending return. This turns static API data into searchable knowledge. You ask questions about return reasons and get answers based on actual records.

Automate label generation with LlamaIndex

Execute `approve_return` directly from your agent when a request matches your indexed criteria. The system issues the label without human input. This MCP Server links your business rules to warehouse actions. Your agent makes the call based on the data it found in the index.

Track warehouse inventory via LlamaIndex

Use `receive_items` to update your internal knowledge base with the latest warehouse arrivals. The index stays current with physical stock levels. Check `get_return_details` to see why an item was returned. Your agent references this history to suggest the next move.

Setup guide

Set up AfterShip Returns 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 AfterShip Returns 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 AfterShip Returns tools.",
)
response = await agent.run("List recent AfterShip Returns 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 AfterShip Returns. 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 AfterShip Returns MCP in LlamaIndex

Use the McpToolSpec to load the tools into your agent. Once called, the output is ready to be ingested into your vector store.

Yes, use the `list_returns` tool to pull past data. LlamaIndex stores these results so you can query them later without hitting the API again.

It uses live API data for every tool call. You avoid hallucinations by grounding your agent's answers in the actual RMA status.

Pass the tools to a FunctionAgent. The agent decides when to execute `approve_return` based on the context it gathered from your index.

We isolate your traffic using the V8 sandbox. Your sensitive RMA numbers and customer details never touch external storage beyond your own environment.

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