Contentsquare MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Contentsquare through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Contentsquare, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every Contentsquare tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the Contentsquare MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Contentsquare and passes them to the LLM
Why Use Vercel AI SDK with the Contentsquare MCP Server
Vercel AI SDK provides unique advantages when paired with Contentsquare through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Contentsquare integration everywhere
Built-in streaming UI primitives let you display Contentsquare tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Contentsquare + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Contentsquare MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Contentsquare in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Contentsquare tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Contentsquare capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Contentsquare through natural language queries
Contentsquare MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Contentsquare to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting Contentsquare to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpContentsquare + Vercel AI SDK FAQ
Common questions about integrating Contentsquare MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.