How to Use the Brushfire MCP in LlamaIndex

Q: How do I configure LlamaIndex to query Brushfire data via MCP?

Install llama-index-tools-mcp and instantiate BasicMCPClient pointing to your Vinkius endpoint. Wrap it in McpToolSpec and convert it using totoollistasync to pass it to your agent.

Q: Can LlamaIndex index Brushfire ticket types for RAG?

Yes, the agent can call listtickettypes to pull registration options and index them. This lets your RAG pipeline answer specific questions about pricing and ticket availability.

Q: How does the Brushfire MCP Server prevent hallucinated order details in LlamaIndex?

By pulling live data directly through getorder, the agent bases its responses on real-time API records. This grounds the model's output in actual facts instead of relying on outdated training weights.

Q: Can I filter which Brushfire tools LlamaIndex can access?

Yes, you can use the allowedtools filter when setting up your MCP tool specification. This allows you to restrict your agent to read-only tools like listevents while blocking write actions.

Index live Brushfire event data into your LlamaIndex vector stores for instant, grounded RAG queries.

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Create your Vinkius account to connect Brushfire 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 Brushfire with LlamaIndex

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RAG-Driven Event Auditing with LlamaIndex

LlamaIndex queries the Brushfire MCP Server to pull registration lists and index them for semantic search. Your agent calls `list_events` and `get_event` to build a real-time knowledge base of your active schedules. Instead of guessing, your agent answers questions based on actual indexed records. This keeps your coordinator bots accurate when discussing capacity limits or scheduling conflicts.

Semantic Search Over Brushfire with LlamaIndex

Use `list_attendees` and `get_attendee` to feed attendee profiles directly into your LlamaIndex query engine. This allows your agent to find specific guests based on natural language queries rather than exact ID matches. The tool output is embedded on the fly, making it searchable alongside your internal documents. Your agent can instantly flag VIPs or identify registration trends across different ticket types.

Live Order Tracking via FunctionAgent

Equip your LlamaIndex `FunctionAgent` with `get_order` and `list_orders` to check purchase histories instantly. The agent pulls live transaction data to resolve customer support questions during chat sessions. By combining live API lookups with historical vector indexes, the agent provides context-rich answers about ticket statuses. You get accurate order verification without manual searching.

Setup guide

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

Install `llama-index-tools-mcp` and instantiate `BasicMCPClient` pointing to your Vinkius endpoint. Wrap it in `McpToolSpec` and convert it using `to_tool_list_async` to pass it to your agent.

Yes, the agent can call `list_ticket_types` to pull registration options and index them. This lets your RAG pipeline answer specific questions about pricing and ticket availability.

By pulling live data directly through `get_order`, the agent bases its responses on real-time API records. This grounds the model's output in actual facts instead of relying on outdated training weights.

Yes, you can use the `allowed_tools` filter when setting up your MCP tool specification. This allows you to restrict your agent to read-only tools like `list_events` while blocking write actions.

No, credentials and session tokens are managed securely by Vinkius. Your attendee records and order histories are processed in memory and never cached or stored externally.

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