How to Use the Unbounce MCP in OpenAI Agents SDK
Run production marketing pipelines with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Unbounce MCP to OpenAI Agents SDK
Create your Vinkius account to connect Unbounce 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.
Managing Unbounce Assets via MCP Server
The `get_page` tool lets your agent pull full details for a specific landing page. You can ask it to check the structure or copy of any asset, ensuring the content is ready before launch. It also provides access to `list_form_fields`, so agents know exactly what data points are available on each page and how many fields they need to process.
Retrieving Lead Data with OpenAI Agents SDK
Need to audit leads? The agent uses the `list_leads` tool to pull a full list of contacts associated with a particular page. This lets your system check conversion rates or flag incomplete entries. If you need details on just one contact, the `get_lead` tool fetches specific records, giving you immediate insight into that user's journey.
System and Account Overview via MCP Server
Before running complex marketing jobs, your agent needs context. The `list_accounts` tool provides a manifest of all Unbounce accounts. This is crucial for agents managing multi-client setups. Furthermore, the system can call `get_me` to confirm which user or service account it's currently acting under.
Set up Unbounce MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Unbounce tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Unbounce tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Unbounce tools and returns structured results. Copy the full example on the right to get started.
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="Unbounce Agent",
instructions="You have access to Unbounce tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Unbounce. 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 Unbounce MCP in OpenAI Agents SDK
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