How to Use the Contentsquare MCP in CrewAI

Q: How does CrewAI resolve Contentsquare zoning issues?

An analyst agent calls listzonings to inspect interaction arrays for click tracking constraints. It then passes these findings to a UX writer agent to recommend page layout adjustments.

Q: Can I restrict which tools my agents can access?

Yes, you can use MCPServerHTTP from the crewai.mcp package and apply a toolfilter. This lets you restrict access to sensitive operations like enrichsession while keeping read-only tools open.

Deploy specialized CrewAI agent teams to audit Contentsquare tracking, monitor bounce metrics, and automate raw data exports.

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Connect Contentsquare MCP to CrewAI

Create your Vinkius account to connect Contentsquare 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 Contentsquare with CrewAI

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Coordinate CrewAI agents for tracking audits

The `list_zonings` tool inspects deep internal interaction arrays to find click tracking constraints across your site. In a CrewAI setup, an analyst agent uses this tool to collect interaction data, while a coordinator agent evaluates the results against target UX metrics. By passing the server URL directly in your agent's `mcps` array, the entire crew gets instant access to the tracking configuration. The agents share context in memory, allowing them to cross-reference zoning issues with demographic limits retrieved via `list_segments`.

Manage export pipelines with CrewAI

The `create_export_job` tool dispatches automated validation checks that route raw data pipeline chunks to your storage. Your CrewAI operations crew automates this by assigning an export manager agent to trigger the job and track its state using `get_export_job`. A separate auditor agent calls `list_export_jobs` to verify the payload structure before marking the task complete. That's how you keep your raw statistical data validated and archived without human oversight.

Monitor page metrics using this MCP Server

The `get_page_metrics` tool retrieves static generation data targeting exact URL statistical bodies. Your monitoring crew runs this tool on a loop, assigning a researcher agent to identify pages where bounce rates exceed acceptable thresholds. When anomalies are found, the researcher agent passes the URL path to an analyst agent, which calls `list_mappings` to trace the routing tree. The crew then outputs a structured optimization plan based on active Contentsquare tracking domains.

Setup guide

Set up Contentsquare 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 Contentsquare tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass your Vinkius server URL directly inside the agent's `mcps` configuration parameter. This exposes all ten tools, allowing your agents to query `get_metrics` or `list_projects` during their tasks.

Yes, you can set up a hierarchical crew where one agent runs `create_export_job` and another monitors the queue using `get_export_job`. This keeps your raw data pipeline running autonomously.

An analyst agent calls `list_zonings` to inspect interaction arrays for click tracking constraints. It then passes these findings to a UX writer agent to recommend page layout adjustments.

Yes, you can use `MCPServerHTTP` from the `crewai.mcp` package and apply a `tool_filter`. This lets you restrict access to sensitive operations like `enrich_session` while keeping read-only tools open.

The integration relies on Vinkius's zero-trust architecture, passing all requests through secure, ephemeral V8 sandboxes. Your demographic limits, session arrays, and raw export payloads are never cached or exposed to external networks.

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