MeetingPulse MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect MeetingPulse 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 MeetingPulse, 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 MeetingPulse MCP Server
Connect your MeetingPulse account to any AI agent and take full control of your audience engagement and meeting data through natural conversation.
The Vercel AI SDK gives every MeetingPulse 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
- Meeting Oversight — List all active and past meetings and fetch detailed configuration and status
- Poll Monitoring — Retrieve poll results, individual questions, and survey summaries in real-time
- Engagement Analytics — Access meeting engagement metrics and participant analytics instantly
- Interaction Tracking — Monitor Q&A sessions and list attendees for specific meetings
- Resource Management — List files and materials shared during your interactive sessions
The MeetingPulse 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.
How to Connect MeetingPulse to Vercel AI SDK via MCP
Follow these steps to integrate the MeetingPulse MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from MeetingPulse and passes them to the LLM
Why Use Vercel AI SDK with the MeetingPulse MCP Server
Vercel AI SDK provides unique advantages when paired with MeetingPulse 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 MeetingPulse integration everywhere
Built-in streaming UI primitives let you display MeetingPulse 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
MeetingPulse + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the MeetingPulse MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query MeetingPulse in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate MeetingPulse tools and return structured JSON responses to any frontend
Chatbots with tool use: embed MeetingPulse capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with MeetingPulse through natural language queries
MeetingPulse MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect MeetingPulse to Vercel AI SDK via MCP:
get_account_info
Get account information
get_meeting
Get details for a specific meeting
get_meeting_analytics
Get meeting analytics
get_poll_details
Get details for a specific poll
list_attendees
List meeting attendees
list_meeting_files
List files shared in a meeting
list_meetings
List all meetings
list_polls
List polls for a meeting
list_qa_sessions
List Q&A sessions
search_meetings
Search meetings by term
Example Prompts for MeetingPulse in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MeetingPulse immediately.
"List all active meetings in MeetingPulse."
"Show results for the poll 'Favorite Feature' in meeting ID 123."
"Get engagement analytics for meeting ID 123."
Troubleshooting MeetingPulse MCP Server with Vercel AI SDK
Common issues when connecting MeetingPulse to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMeetingPulse + Vercel AI SDK FAQ
Common questions about integrating MeetingPulse 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.Connect MeetingPulse with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect MeetingPulse to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.