How to Use the Drip MCP in CrewAI

Deploy specialized CrewAI crews to monitor campaigns and manage Drip subscribers without manual intervention.

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Connect Drip MCP to CrewAI

Create your Vinkius account to connect Drip 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 Drip with CrewAI

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Autonomous CRM operations in CrewAI

Assign a monitor agent to watch your `list_campaigns` status. If a campaign stalls, the agent notifies your team or updates the status automatically. Your crew uses `list_workflows` to keep the entire automation stack in view. It ensures your marketing initiatives stay aligned with your current goals.

Role-based subscriber management in CrewAI

Let your specialized agents handle `tag_subscriber` tasks based on user behavior. One agent researches the user, and another applies the tag. Use `get_subscriber` to feed data into your crew's shared memory. This allows every agent in the team to make informed decisions about your audience.

Event tracking across CrewAI teams

Your crew logs custom events via `record_event` whenever they observe key milestones. This creates a feedback loop for your marketing engine. Use `create_subscriber` to handle new user onboarding. The agent performs this task as part of a larger, multi-step process.

Setup guide

Set up Drip 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 Drip tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Include the MCP server URL in the agent's configuration. The crew gains immediate access to the full suite of Drip tools.

Yes. CrewAI agents share memory, allowing one agent to fetch data with `get_subscriber` while another acts on that information.

You can filter tools for specific agents. Give your lead agent access to `start_workflow` while restricting others to read-only tools like `list_tags`.

You simply define the task for your agent. The agent will invoke `tag_subscriber` when it determines the specific criteria are met.

The MCP server enforces strict access controls. Only the specific subscriber activity and tag data needed for the crew's tasks are exposed.

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