How to Use the Campaigner MCP in CrewAI

Q: Does CrewAI support selective Campaigner tool use?

You can use the toolfilter in your CrewAI setup to restrict which agents have access to specific Campaigner operations. This keeps your sensitive tools protected.

Deploy a CrewAI team to manage your Campaigner marketing operations autonomously.

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Connect Campaigner MCP to CrewAI

Create your Vinkius account to connect Campaigner 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 Campaigner with CrewAI

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CrewAI agents for Campaigner management

Assign a dedicated agent to `list_campaigns` and `get_campaign_stats` while another agent focuses on drafting new content. They share memory to keep the whole team informed. This architecture lets you scale your marketing without hiring more people. One agent watches the metrics while the other acts on the results.

Autonomous subscriber handling in CrewAI

Your research agent monitors lists via `list_subscribers` while your operations agent executes `create_subscriber` based on new leads. It runs in a loop until the goal is met. This keeps your lead pipeline moving 24/7. The agents coordinate their steps so you don't have to manage the sequence manually.

Monitor Campaigner performance with CrewAI

Use `get_campaign_stats` to feed your analyst agent the data it needs to generate reports. It performs the analysis and presents the findings to you. You avoid the manual work of pulling reports. The crew does the heavy lifting and hands you the final output.

Setup guide

Set up Campaigner 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 Campaigner tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Campaigner 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 Campaigner. 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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Common questions about Campaigner MCP in CrewAI

Add the Vinkius URL to your agent's mcps list in the CrewAI task configuration. The agents will pull the tool definitions and start working immediately.

Yes, the crew uses shared memory to pass Campaigner insights between agents. One agent can gather the stats while another makes decisions based on that data.

You can use the tool_filter in your CrewAI setup to restrict which agents have access to specific Campaigner operations. This keeps your sensitive tools protected.

We use a zero-trust architecture for your CrewAI connections. Every request is authenticated with your unique endpoint token and purged after the session.

Your contact lists are never cached or stored long-term. The server fetches only what the crew needs and clears the transient data instantly.

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