How to Use the Braze MCP in CrewAI

Deploy a specialized CrewAI team to manage your Braze customer engagement.

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Connect Braze MCP to CrewAI

Create your Vinkius account to connect Braze to CrewAI 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 CrewAI

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Assign Braze tasks to CrewAI agents

Give your research agent access to `list_canvases` to monitor performance. It reports back to your moderator agent. This keeps your human operators out of the loop for routine checks. The team coordinates on its own.

Use CrewAI for Braze user management

Dedicate an agent to `identify_user` tasks. It handles identity resolution across your user base while the rest of the crew focuses on analysis. This specialization keeps your agents lean. They don't get bogged down by administrative data tasks.

Execute Braze actions with CrewAI

Let your executor agent run `trigger_campaign` based on research from other team members. It acts only when the criteria are met. Your operation runs autonomously. You just set the goals and the crew handles the execution path.

Setup guide

Set up Braze MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Braze tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Braze Analyst",
    goal="Access and analyze Braze data via MCP.",
    backstory="Expert analyst with direct Braze access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Braze transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Braze Analyst",
        goal="Access and analyze Braze data via MCP.",
        backstory="Expert analyst with direct Braze access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Braze transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Braze MCP in CrewAI

Yes, you assign the specific tools to the agents that need them. They share the context and act as a coordinated unit.

You use the Vinkius endpoint token. The server limits the agent's reach to the specific tools you allow.

The MCP Server environment is isolated. It only handles the specific profile data requested for the current task.

You can use a tool filter to expose only the necessary operations to your agents. This prevents accidental deletions.

It manages multiple requests from your agents simultaneously. Each agent gets a clean state for every action.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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