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 Pydantic AI 10 tools — connect in under 2 minutes

Name: Brushfire
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Brushfire through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Brushfire "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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.

Pydantic AI validates every Brushfire tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Brushfire MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Brushfire MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Brushfire integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Brushfire connection logic from agent behavior for testable, maintainable code

Brushfire + Pydantic AI Use Cases

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

Type-safe data pipelines: query Brushfire with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Brushfire tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Brushfire and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Brushfire responses and write comprehensive agent tests

Brushfire MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Brushfire to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Brushfire + Pydantic AI FAQ

Common questions about integrating Brushfire MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Brushfire MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.