Can it retrieve all form submission data (Leads) for a specific landing page in one go?

Absolutely. Just instruct the agent using the 'list_page_leads' capability, feeding it the specific landing page ID. It directly taps the records returning JSON-wrapped metadata of exactly what your visitors typed in.

How can I check the performance and stats of a live landing page quickly?

Simply ask the agent to fetch the page statistics using 'get_page_statistics' with its respective ID. Data elements like bounce rates, overall views vs conversions naturally return into the AI context mapping easy charts.

Can it query sub-accounts dynamically finding out assigned domains on larger enterprise accounts?

Yes. First call 'list_sub_accounts' to get raw IDs, then orchestrate 'list_sub_account_domains' recursively across those IDs. In one prompt, your AI audits the entire organizational deployment topology natively.

Unbounce MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes

Name: Unbounce
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 4 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Unbounce through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Unbounce Assistant",
            instructions=(
                "You help users interact with Unbounce. "
                "You have access to 4 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Unbounce"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Unbounce MCP Server

Connect your Unbounce marketing workflows to any AI agent and take full enterprise control over global landing pages, captured leads routing, and real-time conversion monitoring natively via conversational commands.

The OpenAI Agents SDK auto-discovers all 4 tools from Unbounce through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Unbounce, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

Project & Sub-Account Control — Interrogate your organization's hierarchy grouping, natively verifying assigned domains before pushing any pages live
Real-Time Lead Extraction — Fetch form submission pipelines continuously directly from targeted pages without battling CSV exports
Variant Auditing — Read A/B testing splits mapped across single pages to identify statistically significant conversions rapidly
Lead Obliteration — Trigger raw data-privacy deletions directly across specific captured accounts dropping rogue leads off the servers

The Unbounce MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents 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 Unbounce to OpenAI Agents SDK via MCP

Follow these steps to integrate the Unbounce MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 4 tools from Unbounce

Why Use OpenAI Agents SDK with the Unbounce MCP Server

OpenAI Agents SDK provides unique advantages when paired with Unbounce through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Unbounce + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Unbounce MCP Server delivers measurable value.

Automated workflows: build agents that query Unbounce, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Unbounce, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Unbounce tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Unbounce to resolve tickets, look up records, and update statuses without human intervention

Unbounce MCP Tools for OpenAI Agents SDK (4)

These 4 tools become available when you connect Unbounce to OpenAI Agents SDK via MCP:

domains

List custom domains configured in the account

leads

List leads/submissions for a specific landing page

pages

List landing pages in Unbounce

sub_accounts

List sub-accounts available to the user

Example Prompts for Unbounce in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Unbounce immediately.

"Please list the verified domains available for publication underneath the specific main active sub-account."

"Summarize the conversion metrics and variant splits for the 'Enterprise Launch Q3' LP ID."

"Isolate the exact form submission metadata payload for lead ID 7709xxv-1123."

Troubleshooting Unbounce MCP Server with OpenAI Agents SDK

Common issues when connecting Unbounce to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Unbounce + OpenAI Agents SDK FAQ

Common questions about integrating Unbounce MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.