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ShippingBo MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Get Order, Get Product, List Orders, and more

Built by Vinkius GDPR 8 Tools Framework

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

Ask AI about this App Connector for LlamaIndex

The ShippingBo app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 ShippingBo. "
            "You have 8 tools available."
        ),
    )

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

asyncio.run(main())
ShippingBo
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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 ShippingBo MCP Server

Connect your ShippingBo account to any AI agent and take full control of your e-commerce logistics and fulfillment orchestration through natural conversation. ShippingBo provides a comprehensive platform for centralizing orders, managing multi-warehouse stocks, and orchestrating shipments directly from your chat interface.

LlamaIndex agents combine ShippingBo 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 & Fulfillment Orchestration — List and retrieve detailed metadata for your sales orders to keep your fulfillment pipeline synchronized programmatically.
  • Product & Stock Management — Access and monitor your product catalog and update stock counts for specific items directly from the AI interface.
  • Shipment Lifecycle Control — List and monitor shipments and track delivery progress via natural language to ensure customer satisfaction.
  • Warehouse Slot Intelligence — Access and monitor warehouse slots to maintain a clear overview of your physical storage organization.
  • Operational Monitoring — Track system activity and monitor packs to ensure your logistics setup is always optimized using simple AI commands.

The ShippingBo MCP Server exposes 8 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.

All 8 ShippingBo tools available for LlamaIndex

When LlamaIndex connects to ShippingBo through Vinkius, your AI agent gets direct access to every tool listed below — spanning fulfillment-automation, multi-warehouse, inventory-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

get_order

Get order details

get_product

Get product details

list_orders

List all orders

list_packs

List packaging options

list_products

List all products

list_shipments

List all shipments

list_warehouse_slots

List warehouse storage slots

update_stock

Update product stock level

Connect ShippingBo to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 8 tools from ShippingBo

Why Use LlamaIndex with the ShippingBo MCP Server

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

01

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

02

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

03

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

04

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

ShippingBo + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for ShippingBo in LlamaIndex

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

01

"List all products in my ShippingBo catalog."

02

"Update stock for product ID 54321 to 150 units."

03

"List the last 5 shipments in ShippingBo."

Troubleshooting ShippingBo MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ShippingBo + LlamaIndex FAQ

Common questions about integrating ShippingBo MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ShippingBo tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.