Can I check the stock level of a specific item?

Yes! Use the `get_item` tool with the Item ID. Your agent will fetch the detailed information, including the current total quantity in stock.

How do I list my storage locations?

Simply ask the agent to `list_locations`. It will retrieve the directory of all active warehouses and zones.

Does the integration allow registering a new stock delivery?

Yes. Use the `create_transaction` tool with type 'IN' to log incoming stock, specifying the items and quantities.

BoxHero MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: BoxHero
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 BoxHero. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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About BoxHero MCP Server

Connect your BoxHero account to any AI agent and orchestrate your inventory management workflows through natural conversation.

LlamaIndex agents combine BoxHero tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

Item Oversight — List all items in your inventory, create new ones, and retrieve detailed specifications.
Stock Tracking — Check real-time stock levels and monitor transaction histories (stock-in, stock-out, moves).
Location Management — List all storage locations and warehouses managed in your account.
Inventory Adjustments — Create stock transactions directly to correct inventory levels or record shipments.
Attribute Discovery — Retrieve custom item attributes defined in your catalog.

The BoxHero MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BoxHero to LlamaIndex via MCP

Follow these steps to integrate the BoxHero MCP Server with LlamaIndex.

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 10 tools from BoxHero

Why Use LlamaIndex with the BoxHero MCP Server

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

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

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

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

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

BoxHero + LlamaIndex Use Cases

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

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

Data enrichment: query BoxHero 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 BoxHero for fresh data

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

BoxHero MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect BoxHero to LlamaIndex via MCP:

create_item

Create a new inventory item

create_transaction

Create a new stock transaction (In/Out/Move)

delete_item

Delete an item

get_account_info

Get authenticated user info

get_item

Get details of a specific item

list_attributes

List custom item attributes

list_items

List all inventory items

list_locations

List all storage locations

list_transactions

List inventory transactions (Stock In/Out)

update_item

Update an existing item

Example Prompts for BoxHero in LlamaIndex

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

"List all active inventory items."

"Show the recent stock transactions."

"List the storage locations."

Troubleshooting BoxHero MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

BoxHero + LlamaIndex FAQ

Common questions about integrating BoxHero 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 BoxHero tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.