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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Brushfire through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "brushfire": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Brushfire, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Brushfire
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
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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.

LangChain's ecosystem of 500+ components combines seamlessly with Brushfire through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Brushfire via MCP

Why Use LangChain with the Brushfire MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Brushfire MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Brushfire queries for multi-turn workflows

Brushfire + LangChain Use Cases

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

01

RAG with live data: combine Brushfire tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Brushfire, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Brushfire tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Brushfire tool call, measure latency, and optimize your agent's performance

Brushfire MCP Tools for LangChain (10)

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

01

check_in_attendee

Mark an attendee as checked-in

02

get_account_info

Retrieve core account information

03

get_attendee

Get details of a specific attendee

04

get_event

Get details of a specific event

05

get_order

Get details of a specific order

06

list_attendees

List all attendees for a specific event

07

list_events

List all managed events

08

list_orders

List all event orders

09

list_ticket_types

List ticket/registration types for an event

10

update_attendee

Update attendee information

Example Prompts for Brushfire in LangChain

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

01

"List all my upcoming events in Brushfire."

02

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

03

"Check-in attendee with ID att_99283."

Troubleshooting Brushfire MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Brushfire + LangChain FAQ

Common questions about integrating Brushfire MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Brushfire to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.