Storylane MCP Server for AutoGenGive AutoGen instant access to 12 tools to Create Demo Link, Get Demo, Get Demo Analytics, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Storylane as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The Storylane app connector for AutoGen 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 autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="storylane_agent",
tools=tools,
system_message=(
"You help users with Storylane. "
"12 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Storylane tools. Connect 12 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
The Storylane MCP Server exposes 12 tools through the Vinkius. Connect it to AutoGen 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 AutoGen
When AutoGen 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 AutoGen via MCP
Follow these steps to wire Storylane into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Storylane MCP Server
AutoGen provides unique advantages when paired with Storylane through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Storylane tools to solve complex tasks
Role-based architecture lets you assign Storylane tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Storylane tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Storylane tool responses in an isolated environment
Storylane + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Storylane MCP Server delivers measurable value.
Collaborative analysis: one agent queries Storylane while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Storylane, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Storylane data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Storylane responses in a sandboxed execution environment
Example Prompts for Storylane in AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Storylane to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Storylane + AutoGen FAQ
Common questions about integrating Storylane MCP Server with AutoGen.