Can I check-in an attendee using the agent?

Yes! Use the `check_in_attendee` tool with the Attendee ID. Your agent will update the status in Brushfire instantly to mark the guest as present.

How do I see the list of all attendees for my event?

Simply ask the agent to `list_attendees` and provide the Event ID. It will retrieve all the registered guests, including names and statuses, from your Brushfire account.

Does the integration allow updating attendee details?

Yes. Use the `update_attendee` action and provide the Attendee ID along with the new name or email. The information will be synchronized with Brushfire immediately.

Brushfire MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Brushfire
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Brushfire. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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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 Brushfire MCP Server

Connect your Brushfire account to any AI agent and orchestrate your event management, ticketing, and attendee synchronization through natural conversation.

LlamaIndex agents combine Brushfire 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

Event Oversight — List all your managed events, retrieve detailed metadata, and monitor ticket types.
Attendee Management — List all registered guests for specific events, retrieve detailed profiles, and update information.
Real-time Check-in — Mark attendees as checked-in directly from your workspace to track attendance.
Order Tracking — List and inspect all event orders and transaction histories.
Registration Coordination — Access and verify ticket/registration types to ensure your event setup is correct.
Account Insights — Retrieve core account and site information straight from your workspace.

The Brushfire 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 Brushfire to LlamaIndex via MCP

Follow these steps to integrate the Brushfire 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 Brushfire

Why Use LlamaIndex with the Brushfire MCP Server

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

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

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

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

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

Brushfire + LlamaIndex Use Cases

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

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

Data enrichment: query Brushfire 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 Brushfire for fresh data

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

Brushfire MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Brushfire to LlamaIndex via MCP:

check_in_attendee

Mark an attendee as checked-in

get_account_info

Retrieve core account information

get_attendee

Get details of a specific attendee

get_event

Get details of a specific event

get_order

Get details of a specific order

list_attendees

List all attendees for a specific event

list_events

List all managed events

list_orders

List all event orders

list_ticket_types

List ticket/registration types for an event

update_attendee

Update attendee information

Example Prompts for Brushfire in LlamaIndex

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

"List all my upcoming events in Brushfire."

"Show the attendee list for 'Summer Summit 2026'."

"Check-in attendee with ID att_99283."

Troubleshooting Brushfire MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Brushfire + LlamaIndex FAQ

Common questions about integrating Brushfire MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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