Venue MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Event, Create Speaker, Get Event Analytics, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Venue 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 Venue app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 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 Venue, 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 Venue MCP Server
Connect your Venue.live account to any AI agent and simplify how you coordinate high-engagement virtual events, webinars, and interactive sessions through natural conversation.
The Vercel AI SDK gives every Venue tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Event Management — List all upcoming webinars, create new events, and retrieve detailed configuration metadata.
- Session Coordination — List and manage individual sessions or breakout rooms associated with your events.
- Speaker Registry — Create and list guest speaker profiles to manage your event directory.
- Attendee Tracking — List registered participants for specific events to monitor growth and sign-ups.
- Engagement Analytics — Retrieve performance metrics and attendance data for completed events to measure success.
- Recording Library — List and access video recordings from past events for content repurposing.
The Venue MCP Server exposes 10 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 10 Venue tools available for Vercel AI SDK
When Vercel AI SDK connects to Venue through Vinkius, your AI agent gets direct access to every tool listed below — spanning webinar-hosting, virtual-events, booking-management, 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.
Create a new virtual event
Register a new speaker
Get event engagement analytics
Get details of a specific event
Get account information
List event attendees
List sessions for a specific event
live. List virtual events and webinars
List event recordings
List guest speakers
Connect Venue to Vercel AI SDK via MCP
Follow these steps to wire Venue 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 Venue MCP Server
Vercel AI SDK provides unique advantages when paired with Venue 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 Venue integration everywhere
Built-in streaming UI primitives let you display Venue 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
Venue + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Venue MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Venue in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Venue tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Venue capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Venue through natural language queries
Example Prompts for Venue in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Venue immediately.
"List all upcoming events in my Venue account."
"Show me the analytics for the 'Summer Webinar' (ID: ev_10293)."
"Create a new event titled 'AI Workshop' for Dec 10th at 2 PM UTC."
Troubleshooting Venue MCP Server with Vercel AI SDK
Common issues when connecting Venue to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVenue + Vercel AI SDK FAQ
Common questions about integrating Venue 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.