Can I trigger an API campaign for a specific user?

Yes! Use the `trigger_campaign` tool with the Campaign ID and a JSON array of recipient objects (e.g., `[{"external_user_id":"123"}]`).

How do I update a user's custom attribute?

Simply ask the agent to `track_user` and provide the External ID along with the new attributes in JSON format (e.g., `{"favorite_color":"blue"}`).

Does the integration allow permanently deleting a user for GDPR compliance?

Yes. Use the `delete_user` mutation with the user's External ID. This will permanently remove their profile and data from your Braze dashboard.

Braze MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Braze
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Braze through Vinkius, pass the Edge URL in the `mcps` parameter and every Braze tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Braze Specialist",
    goal="Help users interact with Braze effectively",
    backstory=(
        "You are an expert at leveraging Braze tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Braze "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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 Braze MCP Server

Connect your Braze customer engagement platform to any AI agent and orchestrate your marketing automation and user tracking workflows through natural conversation.

When paired with CrewAI, Braze becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Braze tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

User Orchestration — Track new user attributes and events, identify anonymous users, or permanently delete user profiles for compliance.
Campaign Management — List all your marketing campaigns, retrieve detailed metadata, and instantly trigger API-based campaign sends to specific users.
Canvas (Journey) Control — List and inspect multi-step Canvases, and trigger users to enter specific Canvas workflows.
Data Export — Programmatically export user profile data by their external IDs.

The Braze MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 Braze to CrewAI via MCP

Follow these steps to integrate the Braze MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Braze

Why Use CrewAI with the Braze MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Braze through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Braze + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Braze MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Braze for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Braze, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Braze tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Braze against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Braze MCP Tools for CrewAI (10)

These 10 tools become available when you connect Braze to CrewAI via MCP:

delete_user

Delete a user by external ID

export_user_ids

Export profile data for specific users

get_campaign_details

Get details of a specific campaign

get_canvas_details

Get details of a specific Canvas

identify_user

Identify a user (merge alias to external ID)

list_campaigns

List all campaigns

list_canvases

List all Canvases

track_user

Track user attributes or events

trigger_campaign

Trigger an API-triggered campaign

trigger_canvas

Trigger a Canvas journey

Example Prompts for Braze in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Braze immediately.

"List all active campaigns in Braze."

"Track user 'usr_992' with attribute {'loyalty_tier':'Gold'}."

"List all Canvases configured in the workspace."

Troubleshooting Braze MCP Server with CrewAI

Common issues when connecting Braze to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Braze + CrewAI FAQ

Common questions about integrating Braze MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.