Can my agent export raw session data from Contentsquare?

Yes. Use the 'create_export_job' tool with your desired date range and data type (sessions or pageviews). The agent will initiate the asynchronous extraction and provide you with a job ID to monitor the download status.

How do I enrich an active session with offline sales data?

Provide the session ID and a JSON object containing the properties you want to append. The 'enrich_session' tool will push these attributes directly to the active interaction block within the Contentsquare engine.

Can I check the engagement metrics for a specific landing page URL?

Absolutely. Use the 'get_page_metrics' tool. Provide the exact page URL and a date range. Your agent will return detailed statistical bodies including bounce rates and behavioral limits for that specific web document.

Contentsquare MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Contentsquare
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Contentsquare through Vinkius, pass the Edge URL in the `mcps` parameter and every Contentsquare tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Contentsquare Specialist",
    goal="Help users interact with Contentsquare effectively",
    backstory=(
        "You are an expert at leveraging Contentsquare tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Contentsquare "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Contentsquare MCP Server

Connect your Contentsquare account to any AI agent and take full control of your digital experience analytics and UX monitoring through natural conversation.

When paired with CrewAI, Contentsquare becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Contentsquare tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Project & Metric Auditing — List project directories and retrieve explicit site metrics including bounce rates, engagement, and conversion telemetry
Audience Segmentation — Access standard API demographic directories to classify user behaviors and validate platform segments globally
URL & Zoning Analysis — Discover explicit routing trees for URL paths and inspect deep interaction arrays like heatmap coordinates and button zones
Raw Data Exports — Trigger automated raw data pipeline extractions for sessions or pageviews to feed your external BI tools or data science workflows
Session Enrichment — Mutate global boundaries by appending offline attributes (like sales or contact logs) to live active interaction blocks
Page-Level Deep Dives — Execute direct queries for specific document nodes to track detailed behavioral limits against exact page URLs

The Contentsquare MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Contentsquare to CrewAI via MCP

Follow these steps to integrate the Contentsquare MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Contentsquare

Why Use CrewAI with the Contentsquare MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Contentsquare through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Contentsquare + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Contentsquare MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Contentsquare for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Contentsquare, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Contentsquare tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Contentsquare against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Contentsquare MCP Tools for CrewAI (10)

These 10 tools become available when you connect Contentsquare to CrewAI via MCP:

create_export_job

Dispatch an automated validation check routing Raw Data Pipeline chunks

enrich_session

g. Sales, Contact logs) binding native JSON payloads executing directly towards session arrays. Mutate global Web CRM boundaries appending headless Offline attributes to live sessions

get_export_job

Validate Data Science object extraction execution state queues

get_metrics

Retrieve explicit UX logging tracing explicit bounce / engagement metrics

get_page_metrics

Execute static generation targeting exactly formatted URL statistical bodies

list_export_jobs

Perform structural log extraction matching asynchronous Raw export payloads

list_mappings

Discover explicit routing trees structuring specific URL paths

list_projects

Identify bounded UX tracking domains inside the Headless Contentsquare platform

list_segments

Provision highly-available JSON arrays holding demographic limits

list_zonings

Inspect deep internal interaction arrays mitigating specific Click tracking constraints

Example Prompts for Contentsquare in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Contentsquare immediately.

"List all active projects in Contentsquare"

"Get site metrics for last week"

"Create a raw data export for sessions from yesterday"

Troubleshooting Contentsquare MCP Server with CrewAI

Common issues when connecting Contentsquare to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Contentsquare + CrewAI FAQ

Common questions about integrating Contentsquare MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.