How to Use the Brushfire MCP in AutoGen

Q: How do I integrate the Brushfire MCP Server into AutoGen?

Install autogen-extmcp and use mcpservertools with StreamableHttpServerParams pointing to your Vinkius URL. Pass the resulting tool list directly to your AutoGen AssistantAgent.

Q: How do AutoGen agents handle conflicting Brushfire order data?

Agents use conversation loops to debate discrepancies. If getorder shows an unpaid status but getattendee shows checked-in, the agents flag the mismatch and message your team to resolve it.

Coordinate multi-agent debates in AutoGen to verify Brushfire attendee lists and manage event registrations.

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Connect Brushfire MCP to AutoGen

Create your Vinkius account to connect Brushfire to AutoGen 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 AutoGen

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Multi-Agent Consensus for Attendee Verification

Set up a debate where one AutoGen agent pulls registration details using `get_attendee` and another verifies ticket validity via `get_order`. They cross-reference the data to ensure guest lists match actual transactions. This multi-agent verification prevents check-in errors. By negotiating the correct status before running `update_attendee`, your agents ensure data integrity without human oversight.

Collaborative Event Planning via AutoGen MCP Server

Your scheduling agent calls `list_events` to find open dates while your ticketing agent uses `list_ticket_types` to balance registration limits. They discuss constraints in a shared chat to optimize your event setup. Instead of a single model guessing, specialized agents collaborate on ticket allocations. They update event descriptions and pricing plans based on real-time capacity constraints.

Automated Ticket Reconciliations

An auditing agent pulls sales records using `list_orders` while a finance agent checks payment statuses. They compare notes to flag unpaid registrations or duplicate entries. If they find discrepancies, they coordinate to update the registration record using `update_attendee`. This gives you an automated, self-correcting ticketing pipeline that resolves issues through agent consensus.

Setup guide

Set up Brushfire MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Brushfire tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Brushfire_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Brushfire data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Brushfire_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Brushfire data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

Install `autogen-ext[mcp]` and use `mcp_server_tools` with `StreamableHttpServerParams` pointing to your Vinkius URL. Pass the resulting tool list directly to your AutoGen `AssistantAgent`.

Yes, you can set up a workflow where a receptionist agent identifies guests with `get_attendee` and a supervisor agent executes `check_in_attendee` once payment is verified.

Agents use conversation loops to debate discrepancies. If `get_order` shows an unpaid status but `get_attendee` shows checked-in, the agents flag the mismatch and message your team to resolve it.

Yes, the MCP adapter supports streamable HTTP transports natively. Your agents can stream tool outputs like `list_attendees` in real time during their collaborative conversations.

All tool executions run in isolated V8 sandboxes. Your attendee lists, ticketing structures, and order histories are processed strictly in transit and are never logged or stored.

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