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 CrewAI 10 tools — connect in under 2 minutes

Name: Brushfire
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Brushfire through Vinkius, pass the Edge URL in the `mcps` parameter and every Brushfire tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Brushfire Specialist",
    goal="Help users interact with Brushfire effectively",
    backstory=(
        "You are an expert at leveraging Brushfire tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Brushfire "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

When paired with CrewAI, Brushfire becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Brushfire tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Brushfire MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Brushfire

Why Use CrewAI with the Brushfire MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Brushfire through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Brushfire + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Brushfire for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Brushfire, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Brushfire tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Brushfire against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Brushfire MCP Tools for CrewAI (10)

These 10 tools become available when you connect Brushfire to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Brushfire + CrewAI FAQ

Common questions about integrating Brushfire MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.