How to Use the Mailosaur MCP in CrewAI
Deploy a specialized crew of agents to manage email testing with CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mailosaur MCP to CrewAI
Create your Vinkius account to connect Mailosaur 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.
Specialized email monitoring with CrewAI
Assign a monitor agent to watch your inbox using `list_server_messages`. When a new email hits the server, the agent flags it for analysis. This separates the task of waiting for mail from the task of verifying its contents. Your crew stays organized and focused on their specific roles.
Autonomous verification cycles
Use `get_message_content` to have your analyst agent extract codes from emails. This tool provides the raw data your agents need to pass or fail a test. Your agents don't need a human to read the inbox. They pull the content, check the validity, and move to the next task automatically.
Clean state enforcement
Ensure your crew starts with a blank slate by using `clear_server_inbox`. It’s a simple way to reset the environment for the next round of testing. Your agents can run this as a final step in their sequence. It keeps your test environment predictable and free of leftover noise.
Set up Mailosaur 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 Mailosaur tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Mailosaur Analyst",
goal="Access and analyze Mailosaur data via MCP.",
backstory="Expert analyst with direct Mailosaur access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Mailosaur 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="Mailosaur Analyst",
goal="Access and analyze Mailosaur data via MCP.",
backstory="Expert analyst with direct Mailosaur access.",
tools=mcp_tools,
)
task = Task(
description="List recent Mailosaur 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 Mailosaur. 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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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
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Common questions about Mailosaur MCP in CrewAI
Use it with your favorite AI tools
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Start using the Mailosaur MCP today
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