Landing MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 7 tools to Create Landing Webhook, Delete Landing Webhook, Get My Landing Profile, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Landing through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Landing app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 7 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="Landing Assistant",
instructions=(
"You help users interact with Landing. "
"You have access to 7 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Landing"
)
print(result.final_output)
asyncio.run(main())
* 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 Landing MCP Server
Connect your Landing account to any AI agent and manage landing pages through natural conversation.
The OpenAI Agents SDK auto-discovers all 7 tools from Landing through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Landing, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Page Management — List, create, and manage landing pages
- Lead Tracking — Browse captured leads with form data and conversion source
- Template Library — Access pre-built templates for quick page creation
- Analytics Monitoring — Track page views, conversions, and bounce rates
The Landing MCP Server exposes 7 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.
All 7 Landing tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Landing through Vinkius, your AI agent gets direct access to every tool listed below — spanning landing-page, conversion-tracking, ab-testing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
g., lead.created). Create a new webhook
Delete a webhook
Get authenticated user info
List captured leads
List landing pages
List all landing projects
List active webhooks
Connect Landing to OpenAI Agents SDK via MCP
Follow these steps to wire Landing into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Landing MCP Server
OpenAI Agents SDK provides unique advantages when paired with Landing 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
Landing + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Landing MCP Server delivers measurable value.
Automated workflows: build agents that query Landing, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Landing, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Landing tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Landing to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Landing in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Landing immediately.
"Show all landing pages with conversion rates and today's leads."
"Show leads captured from the SaaS Free Trial page this week."
"Browse templates and show page analytics for the Webinar page."
Troubleshooting Landing MCP Server with OpenAI Agents SDK
Common issues when connecting Landing to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Landing + OpenAI Agents SDK FAQ
Common questions about integrating Landing MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.