Deck Commerce MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Deck Commerce as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Deck Commerce. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Deck Commerce?"
)
print(response)
asyncio.run(main())
* 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 Deck Commerce MCP Server
Integrate Deck Commerce, the leading order management system (OMS) for direct-to-consumer retailers, directly into your AI workflow. Manage your customer orders, track real-time inventory levels across facilities, and monitor shipments and returns using natural language.
LlamaIndex agents combine Deck Commerce tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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 Oversight — List and retrieve detailed information for all customer orders and their current processing status.
- Inventory Intelligence — Access real-time stock levels for your SKUs and monitor backordered items.
- Shipment Tracking — Track processed shipments, access tracking numbers, and monitor delivery progress.
- Return Management — List customer returns and monitor their status directly via chat.
The Deck Commerce 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 Deck Commerce to LlamaIndex via MCP
Follow these steps to integrate the Deck Commerce 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 Deck Commerce
Why Use LlamaIndex with the Deck Commerce MCP Server
LlamaIndex provides unique advantages when paired with Deck Commerce through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Deck Commerce tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Deck Commerce tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Deck Commerce, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Deck Commerce tools were called, what data was returned, and how it influenced the final answer
Deck Commerce + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Deck Commerce MCP Server delivers measurable value.
Hybrid search: combine Deck Commerce real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Deck Commerce 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 Deck Commerce for fresh data
Analytical workflows: chain Deck Commerce queries with LlamaIndex's data connectors to build multi-source analytical reports
Deck Commerce MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Deck Commerce to LlamaIndex via MCP:
get_account_metadata
Returns account-level metadata such as organization name, active integrations, and system configuration. Retrieve settings and metadata for your Deck Commerce account
get_order_details
Resolves line item details, shipping addresses, tax information, and the full order history trail. Get detailed information for a specific order
get_shipment_tracking
Resolves carrier status updates, delivery estimates, and current shipment location. Get tracking and shipping details for a specific shipment
get_sku_stock_level
Provides a detailed breakdown of quantities at individual fulfillment nodes and identifies current inventory status. Get current stock level and status for a specific SKU
list_available_inventory
Returns a list of SKUs with their total available-to-sell, on-hand, and reserved quantities across all nodes. List current inventory levels across all items
list_backordered_items
Identifies products where demand exceeds current on-hand availability. List all items currently on backorder (mock logic)
list_oms_orders
Returns order metadata including order numbers, current status, and customer identifiers. List all customer orders in your Deck Commerce OMS
list_order_returns
Returns a list of return requests including return reasons, RMA numbers, and current processing state. List all customer returns and their processing status
list_processed_shipments
Returns shipment metadata including carrier information, tracking numbers, and fulfillment timestamps. List all shipments processed by Deck Commerce
search_orders_by_number
Matches keywords against order numbers, customer names, and email addresses to isolate specific OMS records. Search for orders using an order number or customer info
Example Prompts for Deck Commerce in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Deck Commerce immediately.
"List all customer orders from today that are 'Pending'."
"What is the stock level for 'Blue Runner Shoes' (SKU: RUN-99)?"
"Show me the tracking info for Order #DC123."
Troubleshooting Deck Commerce MCP Server with LlamaIndex
Common issues when connecting Deck Commerce to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDeck Commerce + LlamaIndex FAQ
Common questions about integrating Deck Commerce MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Deck Commerce with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Deck Commerce to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.