How to Use the Unbounce MCP in CrewAI

Q: How do I automate Unbounce setup using CrewAI?

A specialized crew can use subaccounts to map out all available environments. Then, another agent uses the pages tool to inventory assets, giving you a comprehensive operational view.

Q: Does CrewAI handle Unbounce lead reporting autonomously?

Yes. After gathering leads using the leads tool, an acting agent can take over. It compiles the data and executes follow-up tasks—all without you needing to manually intervene.

Q: What is the scope of Unbounce assets for CrewAI?

The crew has access to subaccounts, which helps map the environment. They also manage asset lists via pages and handle submissions using leads.

Q: What type of data does this MCP Server touch for Unbounce?

This server touches subaccounts, pages, and leads data types. This coverage allows the crew to manage both infrastructure and performance metrics.

Run autonomous Unbounce campaigns with CrewAI multi-agent operations.

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Connect Unbounce MCP to CrewAI

Create your Vinkius account to connect Unbounce 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 Unbounce with CrewAI

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Discover Sub-Accounts for Teams

Start the operation using `sub_accounts` to list every available sub-account under your main Unbounce profile. A monitoring agent can use this tool to establish a full inventory before any work begins. This is crucial when setting up specialized teams that need access across multiple segregated accounts.

Inventory All Marketing Pages

The `pages` tool allows the crew to gather an exhaustive list of every landing page. The analyzing agent can then compare this full inventory against a master checklist, identifying gaps automatically. This is better than running manual checks because the entire process is autonomous.

Finalize Lead Reporting

Use `leads` to fetch submissions for specific pages. The acting agent can take this final batch of lead data, compile a summary report, and trigger an external notification without human intervention. It handles the last mile—taking raw data and turning it into actionable intelligence.

Setup guide

Set up Unbounce 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 Unbounce tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

A specialized crew can use `sub_accounts` to map out all available environments. Then, another agent uses the `pages` tool to inventory assets, giving you a comprehensive operational view.

Yes. After gathering leads using the `leads` tool, an acting agent can take over. It compiles the data and executes follow-up tasks—all without you needing to manually intervene.

The crew has access to `sub_accounts`, which helps map the environment. They also manage asset lists via `pages` and handle submissions using `leads`.

The multi-agent system uses shared memory to pass results between specialized agents. For instance, an agent gets a list of pages, and passes that structured result to another agent for analysis.

This server touches `sub_accounts`, `pages`, and `leads` data types. This coverage allows the crew to manage both infrastructure and performance metrics.

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