How to Use the Contentsquare MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK audit Contentsquare metrics?

Yes, use the getmetrics tool to pull bounce rates and engagement numbers. It feeds raw performance stats directly into your agent's decision logic.

Q: Does OpenAI Agents SDK handle Contentsquare export jobs?

You can initiate and track jobs using createexportjob and listexportjobs. It keeps your status queues visible within your terminal.

Plug Contentsquare into OpenAI Agents SDK to validate your UX data pipelines and automate session enrichment directly in your agent.

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Connect Contentsquare MCP to OpenAI Agents SDK

Create your Vinkius account to connect Contentsquare to OpenAI Agents SDK 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 OpenAI Agents SDK

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Automate UX data exports with OpenAI Agents SDK

Trigger `create_export_job` to push raw pipeline chunks without manual intervention. Your agent handles the routing so you focus on the output. Everything happens inside your OpenAI Agents SDK runtime. This MCP Server keeps your data flow moving while you build out your production agent system.

Enrich session data via OpenAI Agents SDK

Bind native JSON payloads to your session arrays using `enrich_session`. It attaches sales logs and contact info to specific user journeys. Your agent maintains strict context by appending headless offline attributes to live sessions. The tool ensures your model works with current, accurate behavior data.

Audit URL mappings using OpenAI Agents SDK

Call `list_mappings` to discover routing trees and structure your URL paths. It maps out your domain hierarchy for better tracking. Use `list_projects` to define your UX boundaries within the platform. This helps your agent stay within the right project scope during analysis.

Setup guide

Set up Contentsquare MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Contentsquare tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Contentsquare tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Contentsquare tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Contentsquare Agent",
            instructions="You have access to Contentsquare tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Connect the MCP Server via the HTTP transport in your agent configuration. Once initialized, the tools appear automatically in your agent's library.

Yes, use the `get_metrics` tool to pull bounce rates and engagement numbers. It feeds raw performance stats directly into your agent's decision logic.

You can initiate and track jobs using `create_export_job` and `list_export_jobs`. It keeps your status queues visible within your terminal.

Authentication is handled through a single endpoint token managed by Vinkius. Your agent communicates over an encrypted channel to ensure session data stays private.

This server processes raw session payloads and UX tracking logs. All interaction occurs within a V8 isolated sandbox, preventing unauthorized access to your behavioral datasets.

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