How to Use the Loops MCP in CrewAI

Q: How do CrewAI agents manage Loops contacts?

Agents call createcontact or deletecontact based on their assigned roles. You can define these tools in the agent configuration to enable full contact lifecycle management.

Q: Can CrewAI agents query Loops mailing lists?

They use listmailinglists to discover available segments. This allows your agents to dynamically target specific groups for your email campaigns.

Q: Does CrewAI support Loops transactional template variables?

Yes, you provide the dataVariables as a JSON string within the sendtransactionalemail tool. Your agents can build these payloads on the fly.

Q: Can CrewAI agents handle Loops suppression checks?

They use getcontactsuppression to verify recipient eligibility. If an email is suppressed, the agent can escalate the issue or log it for review.

Deploy specialized CrewAI agents to manage your Loops email marketing and transactional campaigns.

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Connect Loops MCP to CrewAI

Create your Vinkius account to connect Loops 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 Loops with CrewAI

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Autonomous Loops tasks for CrewAI

Assign a researcher agent to use `find_contact` and `list_transactional_emails` to monitor your campaign performance. The agent gathers data and identifies which users need follow-up. This frees up your team to focus on strategy. The crew handles the repetitive task of checking contact status and email logs.

Collaborative Loops operations in CrewAI

Coordinate a team where one agent updates profiles via `update_contact` while another triggers emails with `send_transactional_email`. This division of labor prevents bottlenecks in your workflow. You gain a scalable operation that grows with your user base. It ensures every contact gets the right message at the right time.

Secure Loops management for CrewAI

Use `test_api_key` to monitor your integration health across the entire crew. You can set up a moderator agent to alert your team if the connection to the platform drops. It provides visibility into your infrastructure. You can stop the crew from firing off tasks if the API is unreachable.

Setup guide

Set up Loops 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 Loops tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Agents call `create_contact` or `delete_contact` based on their assigned roles. You can define these tools in the agent configuration to enable full contact lifecycle management.

They use `list_mailing_lists` to discover available segments. This allows your agents to dynamically target specific groups for your email campaigns.

The server manages all communications over a secure, ephemeral connection. Only the specific contact email and metadata required for the tool call are transmitted.

Yes, you provide the `dataVariables` as a JSON string within the `send_transactional_email` tool. Your agents can build these payloads on the fly.

They use `get_contact_suppression` to verify recipient eligibility. If an email is suppressed, the agent can escalate the issue or log it for review.

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