How to Use the Landing MCP in OpenAI Agents SDK

Q: How do I initialize the Landing MCP Server in my OpenAI Agents SDK project?

Install openai-agents via pip and configure the MCPServerStreamableHttp transport pointing to your Vinkius endpoint. Pass this server instance in the mcpservers list when instantiating your agent. The SDK automatically registers the 7 landing tools.

Q: Can my OpenAI Agents SDK agent manage multiple Landing campaigns at once?

Yes. The agent uses listlandingprojects to group pages and webhooks under specific marketing efforts. This prevents the agent from mixing up assets across different client accounts.

Q: What happens if a lead capture event fails to register?

Your agent runs listlandingwebhooks to verify if the listener is active. If the webhook is missing or broken, the agent uses the creation tool to re-establish the connection.

Q: How is my customer lead data protected when using this MCP Server?

Your lead capture data, including emails and names from listlandingleads, never persists on the Vinkius platform. All API requests run in an isolated V8 sandbox that destroys your authentication tokens immediately after the tool execution finishes.

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Connect Landing MCP to OpenAI Agents SDK

Create your Vinkius account to connect Landing 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 Landing with OpenAI Agents SDK

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Track conversion performance with OpenAI Agents SDK

The `list_landing_leads` tool lets your agent pull raw conversion data directly into its execution thread. You get real-time access to user signups without writing custom database connectors or polling endpoints. Your OpenAI agent uses this MCP tool to trigger follow-up sequences or score prospects. Because the SDK validates these actions before execution, your agent never acts on corrupted or incomplete lead profiles.

Automate page deployment using this MCP Server

The `list_landing_pages` tool exposes your entire marketing catalog directly to your autonomous agent. Your agent queries this list to identify underperforming pages or check active designs. By pairing this with `list_landing_projects`, the agent maps out your campaign structure. This means your OpenAI agent can audit your live web presence and suggest layout changes based on actual project structures.

Real-time event routing for marketing agents

The `create_landing_webhook` tool registers instant HTTP callbacks for critical user events like lead capture. Your agent sets up these webhooks dynamically during runtime to feed external CRMs. If a campaign ends, the agent calls `delete_landing_webhook` to tear down the pipeline. This keeps your OpenAI Agents SDK environment clean and prevents orphaned webhook endpoints from firing.

Setup guide

Set up Landing 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 Landing tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Landing 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="Landing Agent",
            instructions="You have access to Landing 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 Landing. 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 Landing MCP in OpenAI Agents SDK

Install `openai-agents` via pip and configure the `MCPServerStreamableHttp` transport pointing to your Vinkius endpoint. Pass this server instance in the `mcp_servers` list when instantiating your agent. The SDK automatically registers the 7 landing tools.

Yes. The agent uses `list_landing_projects` to group pages and webhooks under specific marketing efforts. This prevents the agent from mixing up assets across different client accounts.

The SDK inspects the JSON schemas exposed by the Landing tools during initialization. When the agent calls `create_landing_webhook`, the SDK validates the payload structure before dispatching the request.

Your agent runs `list_landing_webhooks` to verify if the listener is active. If the webhook is missing or broken, the agent uses the creation tool to re-establish the connection.

Your lead capture data, including emails and names from `list_landing_leads`, never persists on the Vinkius platform. All API requests run in an isolated V8 sandbox that destroys your authentication tokens immediately after the tool execution finishes.

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