How to Use the Sender.net MCP in CrewAI

Q: How do I restrict Sender.net access in CrewAI?

Use the toolfilter option in your CrewAI agent configuration. This limits which specific Sender.net tools each agent can call.

Deploy a specialized crew of agents with CrewAI to manage your Sender.net marketing operations autonomously.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Sender.net MCP to CrewAI

Create your Vinkius account to connect Sender.net to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Sender.net with CrewAI

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Autonomous list monitoring with CrewAI

Assign a monitor agent to watch your database using `list_subscribers`. If the agent detects anomalies, it alerts your team or takes corrective action. Your CrewAI agents handle the constant oversight. You get peace of mind knowing your lists are being watched around the clock.

Collaborative campaign planning in CrewAI

Let one agent research trends and another use `create_campaign` to launch drafts. CrewAI agents share memory to align the content with your goals. This brings specialization to your marketing. The research agent informs the creation agent, resulting in better targeting.

Automated Sender.net profile analysis

Your CrewAI agents can run `get_user_profile` to pull account details before launching a series of campaigns. They use this data to adjust sending volume. This prevents over-sending. The agents maintain a balance based on your actual account limits and performance history.

Setup guide

Set up Sender.net 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 Sender.net tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Sender.net 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 →

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