How to Use the ActiveTrail MCP in CrewAI

Q: How do I add the ActiveTrail MCP Server to CrewAI?

Run pip install crewai "crewaitools" in your terminal. Pass the Vinkius endpoint URL directly into the mcps array within your agent definition.

Q: Can CrewAI agents read my ActiveTrail subscriber list?

They can. Assign the listcontacts tool to a specific agent in your crew. That worker fetches the directory and shares the findings with the rest of the team.

Q: How do I restrict ActiveTrail tools to specific CrewAI agents?

Import MCPServerHTTP from crewai.mcp and use the toolfilter parameter. This prevents your researcher agent from accidentally triggering an SMS.

Deploy autonomous marketing teams with CrewAI and the ActiveTrail MCP Server.

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Connect ActiveTrail MCP to CrewAI

Create your Vinkius account to connect ActiveTrail 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 ActiveTrail with CrewAI

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Perplexity

Analyze ActiveTrail campaigns with CrewAI

Single agents get overwhelmed by complex tasks. CrewAI lets you assign a researcher agent to pull draft and sent emails using `list_campaigns`. That agent passes the raw data to an analyst agent. The analyst reviews the metrics and decides what to do next. Shared memory keeps the context intact across the entire crew, so no one repeats a query or loses track of the goal.

Manage contacts through specialized roles

You can build a hierarchical execution chain for subscriber management. A monitor agent queries `list_groups` to check your current segments. If it spots an empty group, it delegates work to an execution agent. Workers then call `create_contact` to populate the list. Autonomous execution runs without human intervention, relying on this MCP Server to handle the actual gateway communication.

Trigger SMS alerts from moderator agents

System failures require immediate attention. Moderators watch the session and fire off a `send_sms` if something breaks. It just needs a phone number and the message body. By filtering this MCP Server through `MCPServerHTTP`, admins ensure only the moderator has permission to text, keeping the rest of the crew restricted.

Setup guide

Set up ActiveTrail 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 ActiveTrail tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Run `pip install crewai "crewai[tools]"` in your terminal. Pass the Vinkius endpoint URL directly into the `mcps` array within your agent definition.

They can. Assign the `list_contacts` tool to a specific agent in your crew. That worker fetches the directory and shares the findings with the rest of the team.

Import `MCPServerHTTP` from `crewai.mcp` and use the `tool_filter` parameter. This prevents your researcher agent from accidentally triggering an SMS.

Python frameworks support standard input/output, server-sent events, and streamable HTTP. External endpoints plug right into the HTTP transport option.

Contact details and SMS logs remain completely private. Vinkius architecture relies on ephemeral V8 isolates that spin down the moment your crew finishes the task.

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