How to Use the MailerSend MCP in CrewAI
Deploy autonomous agent crews to monitor deliverability and manage MailerSend campaigns with CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MailerSend MCP to CrewAI
Create your Vinkius account to connect MailerSend 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.
Run an autonomous MCP Server crew
CrewAI thrives on specialization. You assign one agent to monitor your daily sending quotas using `get_account_limits`. It runs quietly in the background. If you get close to the ceiling, it alerts the rest of the team. A separate response agent handles the actual delivery. It takes the approved copy and executes `send_transactional_email`. The roles stay strictly separated, preventing your monitoring agent from accidentally sending duplicate messages.
Analyze campaign performance automatically
Stop pulling manual reports. Your MCP analytics agent grabs the morning numbers via `get_date_analytics`. It looks at open rates, click tracking, and hard bounces across all active campaigns. If a specific message looks suspicious, the agent digs deeper. It runs `get_message_info` and `list_sent_messages` to isolate the exact recipient. The crew compiles a brief and drops it in your Slack channel before you even finish your coffee.
Monitor domain reputation continuously
Deliverability drops when DNS records drift. You can set up an infrastructure agent to poll `list_sending_domains` every few hours. It checks the verification status of your sender identities. If a domain loses its authenticated status, the crew takes action. It pulls the specific configuration using `get_domain_details` and drafts a ticket for your DevOps team. You fix the issue before emails start landing in spam.
Set up MailerSend MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke MailerSend tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="MailerSend Analyst",
goal="Access and analyze MailerSend data via MCP.",
backstory="Expert analyst with direct MailerSend access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent MailerSend transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="MailerSend Analyst",
goal="Access and analyze MailerSend data via MCP.",
backstory="Expert analyst with direct MailerSend access.",
tools=mcp_tools,
)
task = Task(
description="List recent MailerSend transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MailerSend. 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 MailerSend MCP in CrewAI
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