ShipHero MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Add Inventory, Create Order, Create Webhook, and more

Name: ShipHero
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ShipHero as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The ShipHero MCP Server for LlamaIndex is a standout in the Ecommerce category — giving your AI agent 8 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to ShipHero. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in ShipHero?"
    )
    print(response)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About ShipHero MCP Server

Connect your ShipHero account to any AI agent to streamline your warehouse and fulfillment operations through natural language.

LlamaIndex agents combine ShipHero tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Order Management — List recent orders and create new ones with full shipping and line item details.
Inventory Control — Check real-time stock levels by SKU, track history of inventory changes, and add or remove stock instantly.
Bulk Operations — Sync inventory levels in bulk using CSV URLs for rapid warehouse updates.
Product Insights — Retrieve deep metadata for products, including warehouse-specific availability and legacy ID conversion.
Automation — Register webhooks to stay updated on inventory changes or order statuses.

The ShipHero MCP Server exposes 8 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 ShipHero tools available for LlamaIndex

When LlamaIndex connects to ShipHero through Vinkius, your AI agent gets direct access to every tool listed below — spanning wms, fulfillment, warehouse-operations, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add inventory on ShipHero

Add or remove inventory for a SKU

create

Create order on ShipHero

Create a new order in ShipHero

create

Create webhook on ShipHero

get

Get product on ShipHero

Get product details by SKU

get

Get uuid on ShipHero

Get UUID from a legacy numeric ID

list

List inventory changes on ShipHero

List inventory changes for a SKU

list

List orders on ShipHero

List ShipHero orders

sync

Sync inventory on ShipHero

Bulk sync inventory via CSV URL

Connect ShipHero to LlamaIndex via MCP

Follow these steps to wire ShipHero into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from ShipHero

Why Use LlamaIndex with the ShipHero MCP Server

LlamaIndex provides unique advantages when paired with ShipHero through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine ShipHero tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain ShipHero tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query ShipHero, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what ShipHero tools were called, what data was returned, and how it influenced the final answer

ShipHero + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the ShipHero MCP Server delivers measurable value.

Hybrid search: combine ShipHero real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query ShipHero to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ShipHero for fresh data

Analytical workflows: chain ShipHero queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for ShipHero in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with ShipHero immediately.

"List the 10 most recent orders from my primary warehouse."

"Check the current inventory level and warehouse details for SKU 'BLUE-SHIRT-L'."

"Add 25 units to SKU 'GIFT-WRAP' in warehouse 'WH-99' because of a new shipment."

Troubleshooting ShipHero MCP Server with LlamaIndex

Common issues when connecting ShipHero to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ShipHero + LlamaIndex FAQ

Common questions about integrating ShipHero MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ShipHero tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.