How to Use the Brilliant Made MCP in LlamaIndex

Q: How do I index Brilliant Made products in LlamaIndex?

Use the MCP tool spec to pull data from listproducts. Convert the Brilliant Made tool outputs into document nodes and index them into your LlamaIndex vector store for semantic search.

Q: Can LlamaIndex agents check Brilliant Made order statuses?

Yes, your LlamaIndex agent can call getorder to fetch real-time tracking info during a query session. This allows your LlamaIndex RAG pipeline to answer shipping questions with live Brilliant Made warehouse data.

Index your Brilliant Made swag inventory and order history directly into LlamaIndex vector stores for semantic search.

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Connect Brilliant Made MCP to LlamaIndex

Create your Vinkius account to connect Brilliant Made 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 Brilliant Made with LlamaIndex

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Index live swag data into LlamaIndex

This MCP Server turns your physical inventory and order logs into searchable LlamaIndex vector indexes. Your LlamaIndex agent runs `list_products` and `get_inventory_status` to pull raw Brilliant Made swag details, which are then indexed for instant retrieval. Instead of hardcoding API queries, your LlamaIndex agent performs semantic searches over your actual Brilliant Made catalog. This lets users search for physical Brilliant Made items using natural language queries rather than exact SKU matches in LlamaIndex.

Ground RAG applications in real order data

This MCP toolset provides the real-time ground truth your LlamaIndex RAG pipelines need to answer customer support queries accurately. Your LlamaIndex system calls `get_order` and `list_fulfillment_orders` to fetch the latest shipping metrics directly from the Brilliant Made warehouse. By feeding this live Brilliant Made data into your LlamaIndex query engine, you eliminate hallucinated shipping dates. Your LlamaIndex agent answers questions using actual logistics data, keeping your Brilliant Made support responses factual.

Generate gift cards based on index queries

This integration connects your LlamaIndex search indexes directly to promotional actions in Brilliant Made. Your LlamaIndex agent can query past order histories, identify high-value accounts, and run `create_gift_card` to reward them with Brilliant Made credits. You can list existing promotions with `list_gift_cards` to ensure your LlamaIndex pipeline does not double-allocate funds. The tool execution happens dynamically as your LlamaIndex query engine parses user requests and matches them against Brilliant Made business rules.

Setup guide

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

Use the MCP tool spec to pull data from `list_products`. Convert the Brilliant Made tool outputs into document nodes and index them into your LlamaIndex vector store for semantic search.

Yes, your LlamaIndex agent can call `get_order` to fetch real-time tracking info during a query session. This allows your LlamaIndex RAG pipeline to answer shipping questions with live Brilliant Made warehouse data.

Initialize the basic LlamaIndex MCP client with your Vinkius endpoint and load the tool list using the tool spec. Pass these tools to your LlamaIndex FunctionAgent so it can run operations like `list_fulfillment_orders` on Brilliant Made.

Yes, you can restrict your LlamaIndex agent to only run safety-checked tools like `list_products` while blocking write operations on Brilliant Made. This keeps your inventory search safe from unauthorized modifications.

Your product details and inventory metrics are processed in memory and sent directly to your configured LlamaIndex vector database. Vinkius uses ephemeral sandboxes to ensure your Brilliant Made warehouse data is never cached or stored on our platform.

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