Contentsquare MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Contentsquare through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"contentsquare": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Contentsquare Agent",
instructions:
"You help users interact with Contentsquare " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Contentsquare?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Contentsquare tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Contentsquare MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Contentsquare via MCP
Why Use Mastra AI with the Contentsquare MCP Server
Mastra AI provides unique advantages when paired with Contentsquare through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Contentsquare without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Contentsquare tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Contentsquare + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Contentsquare MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Contentsquare, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Contentsquare as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Contentsquare on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Contentsquare tools alongside other MCP servers
Contentsquare MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Contentsquare to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Contentsquare to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpContentsquare + Mastra AI FAQ
Common questions about integrating Contentsquare MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
Connect Contentsquare to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.