Brilliant Made 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 Brilliant Made 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 MCP SERVER
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 Brilliant Made. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Brilliant Made?"
)
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 Brilliant Made MCP Server
Connect your Brilliant Made account to any AI agent and orchestrate your corporate swag, gifting campaigns, and inventory management through natural conversation.
LlamaIndex agents combine Brilliant Made 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
- Order Oversight — List and retrieve detailed metadata for all swag orders and monitor fulfillment progress.
- Product Discovery — Browse your custom storefront catalog and retrieve specifications for individual product variants.
- Inventory Tracking — Monitor real-time stock levels across your entire product range to ensure availability for campaigns.
- Gift Card Management — List, create, and assign storefront gift cards to reward employees or clients.
- Operational Control — Cancel pending orders directly from your workspace if needed.
The Brilliant Made 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 Brilliant Made to LlamaIndex via MCP
Follow these steps to integrate the Brilliant Made 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 Brilliant Made
Why Use LlamaIndex with the Brilliant Made MCP Server
LlamaIndex provides unique advantages when paired with Brilliant Made through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Brilliant Made tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Brilliant Made tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Brilliant Made, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Brilliant Made tools were called, what data was returned, and how it influenced the final answer
Brilliant Made + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Brilliant Made MCP Server delivers measurable value.
Hybrid search: combine Brilliant Made real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Brilliant Made 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 Brilliant Made for fresh data
Analytical workflows: chain Brilliant Made queries with LlamaIndex's data connectors to build multi-source analytical reports
Brilliant Made MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Brilliant Made to LlamaIndex via MCP:
cancel_order
Cancel an existing swag order
create_gift_card
Create a new storefront gift card
create_order
Place a new swag order
get_inventory_status
Retrieve real-time inventory status for all products
get_order
Get details of a specific order
get_product_variant
Get details of a specific product variant
list_fulfillment_orders
List all fulfillment orders
list_gift_cards
List all storefront gift cards
list_orders
List all swag orders
list_products
List all available products in the store
Example Prompts for Brilliant Made in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Brilliant Made immediately.
"List all my recent swag orders in Brilliant Made."
"Show the current inventory status for all products."
"Get details for product variant var_123."
Troubleshooting Brilliant Made MCP Server with LlamaIndex
Common issues when connecting Brilliant Made to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBrilliant Made + LlamaIndex FAQ
Common questions about integrating Brilliant Made 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 Brilliant Made 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.
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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 Brilliant Made to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.