Contentsquare MCP Server
Manage UX analytics via Contentsquare — track site metrics, list demographic segments, audit URL mappings, and export raw data directly from any AI agent.
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What is the Contentsquare MCP Server?
The Contentsquare MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Contentsquare via 10 tools. Manage UX analytics via Contentsquare — track site metrics, list demographic segments, audit URL mappings, and export raw data directly from any AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Contentsquare
Ask your AI agent "List all active projects in Contentsquare" and get the answer without opening a single dashboard. With 10 tools connected to real Contentsquare data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Contentsquare MCP Server capabilities
10 toolsDispatch an automated validation check routing Raw Data Pipeline chunks
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
Validate Data Science object extraction execution state queues
Retrieve explicit UX logging tracing explicit bounce / engagement metrics
Execute static generation targeting exactly formatted URL statistical bodies
Perform structural log extraction matching asynchronous Raw export payloads
Discover explicit routing trees structuring specific URL paths
Identify bounded UX tracking domains inside the Headless Contentsquare platform
Provision highly-available JSON arrays holding demographic limits
Inspect deep internal interaction arrays mitigating specific Click tracking constraints
What the Contentsquare MCP Server unlocks
Connect your Contentsquare account to any AI agent and take full control of your digital experience analytics and UX monitoring through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your Contentsquare Client ID, Client Secret, and Project ID (Found in the Contentsquare Console under API Credentials)
3. Start auditing your digital experience from Claude, Cursor, or any MCP-compatible client
Who is this for?
- UX Researchers — audit user behavior metrics and heatmap zonings without digging through the full console
- Product Managers — monitor project-wide engagement and conversion trends using natural language
- Data Analysts — trigger raw data exports and enrich sessions with offline data directly from the chat
- Digital Marketers — verify audience segment behavior and audit page-level performance for specific campaigns
Frequently asked questions about the Contentsquare MCP Server
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.
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Connect Contentsquare with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Contentsquare MCP Server
Production-grade Contentsquare MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.