How to Use the Brevo MCP in CrewAI

Q: How do CrewAI agents access my Brevo tools?

You pass the secure MCP Server URL directly into the mcps array when initializing your agents. The framework automatically discovers tools like listcontacts and makes them available to the crew.

Q: Can I restrict which CrewAI agents can use Brevo?

Yes, you can use MCPServerHTTP with a tool filter to limit access. This ensures only your marketing agent can run createemailcampaign while others remain read-only.

Deploy an autonomous team of CrewAI agents to manage and optimize your Brevo email campaigns.

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Connect Brevo MCP to CrewAI

Create your Vinkius account to connect Brevo 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 Brevo with CrewAI

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Perplexity

Collaborative list cleaning

Your research agent can call `list_contacts` to pull subscriber data while your analyst agent flags unengaged accounts. By dividing the labor, your crew cleans your database without manual spreadsheet work. Once the bad leads are flagged, a third agent calls `create_contact` to update their status or move them to a suppression list using the MCP. This entire multi-agent loop runs autonomously in the background.

Autonomous campaign optimization with CrewAI

You can set up a performance crew where Agent A calls `get_smtp_statistics` to pull the latest open rates and Agent B analyzes the drop-off. The crew then drafts an improved subject line for the next run. Because the crew has shared memory, the writing agent remembers what worked in previous runs. It then calls `create_email_campaign` to queue up the optimized newsletter draft.

Multi-agent transactional monitoring

Set up a dedicated monitor agent that tracks delivery issues and coordinates with a support agent to trigger `send_email` alerts. If a critical transactional email bounces, the monitor detects it and escalates the issue. This setup runs entirely on its own, allowing your agents to manage deliverability without constant human oversight. You just define the roles, pass the MCP Server URL, and let the crew handle the rest.

Setup guide

Set up Brevo 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 Brevo tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Brevo 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="Brevo Analyst",
        goal="Access and analyze Brevo data via MCP.",
        backstory="Expert analyst with direct Brevo access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Brevo 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 Brevo. 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 Brevo MCP in CrewAI

You pass the secure MCP Server URL directly into the `mcps` array when initializing your agents. The framework automatically discovers tools like `list_contacts` and makes them available to the crew.

Yes, you can use `MCPServerHTTP` with a tool filter to limit access. This ensures only your marketing agent can run `create_email_campaign` while others remain read-only.

The framework coordinates execution sequentially or hierarchically based on your crew's design. If multiple agents need to call `get_contact`, the manager agent schedules the requests to prevent conflicts.

Yes, the shared memory system allows one agent's output from `get_contact_list` to be immediately usable by another agent writing the email copy.

The framework connects to the MCP Server over a secure local or hosted network. Your customer email addresses and subscriber lists are processed in memory and are never stored or sent to external LLM logging platforms.

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