How to Use the Mailingwork MCP in CrewAI
Deploy autonomous marketing teams via the MCP Server in CrewAI that monitor Mailingwork metrics and adjust campaigns without human input.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mailingwork MCP to CrewAI
Create your Vinkius account to connect Mailingwork 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.
Deploy an Autonomous Mailingwork MCP Server Crew
Give your reporting agent access to the `list_mailings` and `get_mailing` tools to constantly monitor campaign performance. It pulls data into the crew's shared memory, analyzing open rates and click-throughs against historical baselines. When it detects a drop in engagement, it alerts an optimization agent. That second agent evaluates the segment logic and proposes adjustments to the active sequences.
Manage List Hygiene Automatically
Assign a specialized list manager agent the `list_subscribers` and `update_subscriber` tools. It scans your database for unengaged contacts and applies a suppression tag based on your predefined rules. You run this process hierarchically. A manager agent oversees the cleanup task. It ensures the worker agent validates the subscriber status with `get_subscriber` before making any permanent changes.
Execute Complex A/B Test Rollouts
Combine `list_lists` and `trigger_automation` to launch targeted experiments. An agent splits a specific audience segment, initiates an A/B test via automation, and waits for statistical significance. Once the results stabilize, a decision agent evaluates the winning variant. It then deploys the successful content to the remainder of the list automatically.
Set up Mailingwork 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 Mailingwork tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Mailingwork Analyst",
goal="Access and analyze Mailingwork data via MCP.",
backstory="Expert analyst with direct Mailingwork access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Mailingwork 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="Mailingwork Analyst",
goal="Access and analyze Mailingwork data via MCP.",
backstory="Expert analyst with direct Mailingwork access.",
tools=mcp_tools,
)
task = Task(
description="List recent Mailingwork 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 Mailingwork. 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
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
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
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Common questions about Mailingwork MCP in CrewAI
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