Storylane MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Demo Link, Get Demo, Get Demo Analytics, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Storylane 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 Storylane app connector for OpenAI Agents SDK is a standout in the Marketing Automation category — giving your AI agent 12 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="Storylane Assistant",
instructions=(
"You help users interact with Storylane. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Storylane"
)
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 Storylane MCP Server
The Storylane MCP server connects your AI agent directly to your demo infrastructure. Query demo completion rates, create personalized demo links for prospects, and sync engagement data natively.
The OpenAI Agents SDK auto-discovers all 12 tools from Storylane through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Storylane, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Storylane MCP Server exposes 12 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 12 Storylane tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Storylane through Vinkius, your AI agent gets direct access to every tool listed below — spanning product-demos, interactive-content, lead-engagement, 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.
Generate a new trackable demo link
Get metadata and status for a specific demo
Get engagement metrics for a specific demo
Get information about the current authenticated user
Get detailed information for a specific viewer session
Retrieve metadata about the current Storylane workspace
Retrieve all active links associated with a specific demo
List all published demos in the workspace
List granular session analytics for demo viewers
List teams within the workspace
List all users and their roles in the workspace
Update settings for an existing demo link
Connect Storylane to OpenAI Agents SDK via MCP
Follow these steps to wire Storylane 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 Storylane MCP Server
OpenAI Agents SDK provides unique advantages when paired with Storylane 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
Storylane + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Storylane MCP Server delivers measurable value.
Automated workflows: build agents that query Storylane, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Storylane, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Storylane tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Storylane to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Storylane in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Storylane immediately.
"List all our active product demos."
"Create a personalized link for 'Analytics Deep Dive' for Acme Corp."
"Show the completion rate for the 'Platform Overview' demo."
Troubleshooting Storylane MCP Server with OpenAI Agents SDK
Common issues when connecting Storylane to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Storylane + OpenAI Agents SDK FAQ
Common questions about integrating Storylane 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.