Storylane MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Demo Link, Get Demo, Get Demo Analytics, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Storylane through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Storylane app connector for Vercel AI 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Storylane, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Storylane tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Storylane MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI 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 Vercel AI SDK
When Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to wire Storylane into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Storylane MCP Server
Vercel AI SDK provides unique advantages when paired with Storylane through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Storylane integration everywhere
Built-in streaming UI primitives let you display Storylane tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Storylane + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Storylane MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Storylane in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Storylane tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Storylane capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Storylane through natural language queries
Example Prompts for Storylane in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Storylane to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpStorylane + Vercel AI SDK FAQ
Common questions about integrating Storylane MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.