Can I format the transactional emails organically via prompt?

Absolutely. Using the `send_transactional_email` operation, the AI dynamically renders the HTML body from your specific text instructions or leverages pre-made numeric Brevo templates.

Is it possible to assign custom CRM attributes when creating a contact?

Yes. The `create_contact` tool exposes a JSON parameter block mapping fields perfectly (like FIRSTNAME, LASTNAME, CITY) directly alongside their assigned inclusion lists.

Are the SMS dispatched globally?

Yes! Brevo's massive routing handles global cellular numbers, and the `send_sms` command executes that payload identically as long as your Brevo account remains credit-funded and active.

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

Name: Brevo
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Brevo through Vinkius, pass the Edge URL in the `mcps` parameter and every Brevo 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="Brevo Specialist",
    goal="Help users interact with Brevo effectively",
    backstory=(
        "You are an expert at leveraging Brevo 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 Brevo "
        "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)

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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 Brevo MCP Server

Connect your Brevo (formerly Sendinblue) account to any AI agent and execute marketing operations and crucial transactional workflows via natural conversation.

When paired with CrewAI, Brevo becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Brevo 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

Transactional Emails — Send richly formatted HTML or template-based alerts instantly on demand
SMS Dispatch — Fire immediate SMS campaigns and notifications globally to verified phone numbers
Contacts & CRM — Seamlessly create new user profiles, map attributes, and assign lists structurally

The Brevo 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 Brevo to CrewAI via MCP

Follow these steps to integrate the Brevo 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 Brevo

Why Use CrewAI with the Brevo MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Brevo 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

Brevo + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Brevo 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 Brevo, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Brevo 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 Brevo against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Brevo MCP Tools for CrewAI (10)

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

create_contact_list

Create a new empty audience list folder for organizing campaigns in Brevo

create_crm_contact

Create a new contact record within the Brevo CRM

delete_crm_contact

Permanently delete a CRM contact profile conforming to database compliance

get_contact_attributes

Retrieve specific profile attributes and metadata for a given contact email

get_smtp_account_details

Retrieve the current Brevo account status, plans, and quota mappings

list_contact_folders

Retrieve all contact lists and campaign segments structured in the CRM

list_crm_contacts

List all contacts stored in the Brevo CRM

send_transactional_email

Needs absolute mapped verified domains to avoid DKIM failure bouncing. Send a transactional email payload via the Brevo SMTP API

send_transactional_sms

164 phone formats via `/transactionalSMS/sms` successfully bypassing web clients. Dispatch an automated transactional SMS directly to cellular hardware

update_contact_attributes

Update custom attributes or metadata parameters for a specific CRM contact

Example Prompts for Brevo in CrewAI

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

"Send a transactional email to test@domain.com saying hello."

"Create contact john.doe@mail.com and map their name as John."

"Can you text message 'Server requires reboot' to my admin phone?"

Troubleshooting Brevo MCP Server with CrewAI

Common issues when connecting Brevo 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.

Brevo + CrewAI FAQ

Common questions about integrating Brevo 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.