GoTo Meeting MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Meeting, Delete Meeting, Get Meeting Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GoTo Meeting 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 GoTo Meeting app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 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 GoTo Meeting, 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 GoTo Meeting MCP Server
Connect your GoTo Meeting account to any AI agent and manage your video conferencing workflow through natural conversation.
The Vercel AI SDK gives every GoTo Meeting tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Meeting Scheduling — Create new meetings with subject, start time, end time, and meeting type (immediate, scheduled, or recurring)
- Upcoming Meetings — List all scheduled meetings with connection links and attendee details
- Meeting Details — Inspect individual meeting configurations, connection URLs, and settings
- Meeting History — Browse past meetings with duration, start times, and attendance records
- Meeting Cancellation — Delete scheduled meetings that are no longer needed
- Organizer Management — List all meeting organizers configured in your organization
The GoTo Meeting MCP Server exposes 6 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 6 GoTo Meeting tools available for Vercel AI SDK
When Vercel AI SDK connects to GoTo Meeting through Vinkius, your AI agent gets direct access to every tool listed below — spanning remote-meetings, screen-sharing, meeting-scheduling, 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.
Schedule a new meeting
Delete a meeting
Get details for a specific meeting
List account organizers
List historical meetings
List upcoming GoTo Meeting sessions
Connect GoTo Meeting to Vercel AI SDK via MCP
Follow these steps to wire GoTo Meeting 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 GoTo Meeting MCP Server
Vercel AI SDK provides unique advantages when paired with GoTo Meeting 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 GoTo Meeting integration everywhere
Built-in streaming UI primitives let you display GoTo Meeting 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
GoTo Meeting + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GoTo Meeting MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GoTo Meeting in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GoTo Meeting tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GoTo Meeting capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GoTo Meeting through natural language queries
Example Prompts for GoTo Meeting in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GoTo Meeting immediately.
"Schedule a meeting titled 'Q2 Planning Review' for next Tuesday from 2 PM to 3 PM."
"Show all my upcoming meetings this week and cancel the one on Friday."
"Show me the meeting history from last month and list all organizers in our account."
Troubleshooting GoTo Meeting MCP Server with Vercel AI SDK
Common issues when connecting GoTo Meeting to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGoTo Meeting + Vercel AI SDK FAQ
Common questions about integrating GoTo Meeting 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.