How to Use the Plasmic (Visual Headless Page Builder) MCP in CrewAI

Q: What is the best way to restrict which tools my crew can use?

Use the MCPServerHTTP class from crewai.mcp to filter your tools. This lets you restrict access to sensitive MCP operations like deletecmsitem.

Deploy specialized agent teams to manage your visual layouts and CMS with CrewAI.

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Connect Plasmic (Visual Headless Page Builder) MCP to CrewAI

Create your Vinkius account to connect Plasmic (Visual Headless Page Builder) 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 Plasmic (Visual Headless Page Builder) with CrewAI

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Collaborative content moderation via this MCP Server

The `query_cms_items` tool retrieves database records for review by your specialized agents. One agent scans for formatting issues while another checks for spelling errors. This multi-agent setup ensures high editorial standards. They collaborate in shared memory to refine the content before any changes are finalized.

Automated layout auditing

The `get_model` tool extracts the JSON representation of your project's element tree using this MCP Server. Your design auditor agent inspects this tree to verify that your layout rules are followed. If it detects broken nesting or missing tags, a developer agent is notified. You catch visual bugs before your users do, completely hands-free.

Multi-agent database synchronization

The `count_cms_items` tool provides the total record count for any database table in your visual builder. Your synchronization crew uses this to detect discrepancies between environments. Once a gap is found, the sync agent runs `create_cms_item` to align the databases. Your content remains perfectly mirrored across all environments without manual work.

Setup guide

Set up Plasmic (Visual Headless Page Builder) 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 Plasmic (Visual Headless Page Builder) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Plasmic (Visual Headless Page Builder) 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 Plasmic. 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 Plasmic (Visual Headless Page Builder) MCP in CrewAI

You pass your Vinkius endpoint URL directly into the CrewAI agent's `mcps` parameter during initialization. This instantly exposes all nine Plasmic (Visual Headless Page Builder) tools to your agent team over a secure MCP connection.

Yes, you can assign one CrewAI agent to write content using `create_cms_item` and another to deploy it using `publish_cms_item`. The crew coordinates the entire visual builder lifecycle sequentially.

CrewAI agents use shared memory to pass JSON schemas retrieved via `get_model` to other specialists. This allows a programmer agent to read the visual builder layout tree that a designer agent requested.

Use the `MCPServerHTTP` class from `crewai.mcp` to filter your tools. This lets you restrict access to sensitive MCP operations like `delete_cms_item`.

No, all interactions with your layout trees and component models occur over encrypted channels. Vinkius processes these payloads in temporary, isolated sandboxes that destroy all data immediately upon execution.

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