How to Use the Braze MCP in AutoGen

Q: How do I register Braze tools with an AutoGen agent?

Install the autogen-ext package and use the mcpservertools utility to fetch the tools from the Vinkius endpoint. You then pass this tool list directly to your AssistantAgent constructor.

Run multi-agent debates in AutoGen to validate and trigger Braze marketing campaigns.

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Connect Braze MCP to AutoGen

Create your Vinkius account to connect Braze 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 Braze with AutoGen

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Let AutoGen agents debate your Braze campaign triggers

The Braze MCP Server enables multi-agent validation before executing external marketing runs. A copywriter agent can draft a message, while a budget agent calls `get_campaign_details` to verify limits before a coordinator agent runs `trigger_campaign`. This consensus-driven approach prevents accidental or double-triggering. The agents discuss the current state of the campaign and only proceed once all safety checks are satisfied.

Manage Braze user profiles with the AutoGen MCP Server

This server provides your AutoGen agents with the tools to manage customer records during multi-agent discussions. One agent can flag inactive users, while another runs `delete_user` or updates details with `track_user` based on the group consensus. You register the tools using the McpToolAdapter. This handles the schema conversion automatically, allowing both assistant and user proxy agents to understand the tool signatures.

Coordinate complex Canvas journeys with safety agents

The Braze integration lets you run multi-step customer journeys through collaborative agent workflows. Your agents use `list_canvases` to find active paths and run `trigger_canvas` only after checking journey safety rules. Before triggering, a validation agent can call `get_canvas_details` to inspect the flow. This ensures your automated agents do not push users into conflicting or outdated marketing paths.

Setup guide

Set up Braze 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 Braze 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="Braze_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="Braze_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Braze 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 Braze. 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.

Why Choose Vinkius

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Common questions about Braze MCP in AutoGen

Install the autogen-ext package and use the mcp_server_tools utility to fetch the tools from the Vinkius endpoint. You then pass this tool list directly to your AssistantAgent constructor.

Yes, you can set up a round-robin group chat where one agent inspects campaign settings using `get_campaign_details` and another decides to execute `trigger_campaign` based on those settings.

The McpToolAdapter automatically translates the JSON schemas from the server into the format AutoGen expects. This ensures your agents generate perfectly structured arguments for tools like `track_user`.

Yes, the server supports both transport methods. In the Vinkius cloud, you will connect using the Streamable HTTP transport by passing your endpoint URL to the tool adapter.

All API requests routing through this MCP server are processed in memory within a secure V8 isolate sandbox. No user identifiers are logged, and the execution environment is completely destroyed immediately after the API call completes.

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