How to Use the Unbounce MCP in OpenAI Agents SDK
Automate Unbounce tasks using the OpenAI Agents SDK, ensuring traceable action.
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.
Check all available Unbounce landing pages
The `pages` tool retrieves a full list of landing page names and IDs. You can check which templates are active in your account before running campaigns. This lets your agent build out initial steps—it knows exactly what resources exist, so it doesn't waste time searching for non-existent pages.
Fetch leads submitted to a specific page
Using the `leads` tool, your agent pulls all lead submissions linked to one landing page. It returns structured data about each contact, including when they signed up. This is great for audit tasks; you can verify if new signups are hitting the system immediately after a campaign launch.
List configured Unbounce domains
The `domains` tool shows every custom domain set up in your Unbounce account. This confirms which endpoints are live and ready for traffic. Before deploying anything, you need to confirm the exact list of domains so your agent knows where the traffic is going.
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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