How to Use the Brushfire MCP in LangChain

Q: How do I add the Brushfire MCP Server to my LangChain agent?

Install langchain-mcp-adapters and langgraph via pip. Initialize the MultiServerMCPClient with the Vinkius HTTP endpoint, then pass the tools from client.gettools() directly to your agent builder.

Q: Can a LangChain chain use Brushfire to check in guests automatically?

Yes, you can build a ReAct agent that calls checkinattendee when a guest name is provided. The agent processes the input, finds the attendee ID with listattendees, and completes the check-in.

Q: How does LangSmith help trace Brushfire calls in LangChain?

LangSmith logs every single call to tools like getorder or listevents. You can view the exact JSON payloads, latency, and token costs for every Brushfire interaction your agent performs.

Run Brushfire event operations inside your LangChain reasoning loops to automate ticket checks and attendee updates.

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Connect Brushfire MCP to LangChain

Create your Vinkius account to connect Brushfire to LangChain 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 LangChain

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Automate Event Check-ins with LangChain Chains

LangChain agents use `check_in_attendee` and `get_attendee` through this MCP integration to handle guest arrivals automatically. The output of finding a ticket immediately triggers the check-in tool in a single execution chain. You can trace this entire sequence in LangSmith to see exactly how your agent resolved the ticket status. If a guest shows up, the model pulls their record and marks them present without you writing custom glue code.

ReAct Agents for Live Registration Updates

When ticket details change, your LangChain agent runs a loop to update records on the fly. It uses `list_ticket_types` and `update_attendee` to modify registration records based on direct chat inputs. The model evaluates the current ticket status, decides which fields need to change, and runs the update. This turns static event data into a dynamic resource your agent manages during live conversations.

Multi-Server Event Reconciliation Loops

Connect this MCP Server alongside database tools to reconcile ticket sales with your internal ledgers. The agent calls `list_orders` and `list_events` to pull Brushfire data, then pipes it straight into your database chain. This setup lets you build multi-step pipelines that audit your registration numbers. You get real-time cross-referencing without manual exports or building custom integration endpoints.

Setup guide

Set up Brushfire MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Brushfire tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "brushfire-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Brushfire transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

Install `langchain-mcp-adapters` and `langgraph` via pip. Initialize the `MultiServerMCPClient` with the Vinkius HTTP endpoint, then pass the tools from `client.get_tools()` directly to your agent builder.

Yes, you can build a ReAct agent that calls `check_in_attendee` when a guest name is provided. The agent processes the input, finds the attendee ID with `list_attendees`, and completes the check-in.

LangSmith logs every single call to tools like `get_order` or `list_events`. You can view the exact JSON payloads, latency, and token costs for every Brushfire interaction your agent performs.

Absolutely. Since this is an MCP Server, you can register it alongside database or email tools. This lets your agent pull ticket details and draft confirmation emails in a single run.

Your registration data and order details are processed inside ephemeral V8 isolates. Vinkius never stores your event databases or attendee lists, keeping your customer records secure and isolated.

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