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MeetingPulse MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect MeetingPulse through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "meetingpulse": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "MeetingPulse Agent",
    instructions:
      "You help users interact with MeetingPulse " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with MeetingPulse?"
  );
  console.log(result.text);
}

main();
MeetingPulse
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Mastra's agent abstraction provides a clean separation between LLM logic and MeetingPulse tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the MeetingPulse MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from MeetingPulse via MCP

Why Use Mastra AI with the MeetingPulse MCP Server

Mastra AI provides unique advantages when paired with MeetingPulse through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add MeetingPulse without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every MeetingPulse tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

MeetingPulse + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the MeetingPulse MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query MeetingPulse, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed MeetingPulse as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query MeetingPulse on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using MeetingPulse tools alongside other MCP servers

MeetingPulse MCP Tools for Mastra AI (10)

These 10 tools become available when you connect MeetingPulse to Mastra AI via MCP:

01

get_account_info

Get account information

02

get_meeting

Get details for a specific meeting

03

get_meeting_analytics

Get meeting analytics

04

get_poll_details

Get details for a specific poll

05

list_attendees

List meeting attendees

06

list_meeting_files

List files shared in a meeting

07

list_meetings

List all meetings

08

list_polls

List polls for a meeting

09

list_qa_sessions

List Q&A sessions

10

search_meetings

Search meetings by term

Example Prompts for MeetingPulse in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with MeetingPulse immediately.

01

"List all active meetings in MeetingPulse."

02

"Show results for the poll 'Favorite Feature' in meeting ID 123."

03

"Get engagement analytics for meeting ID 123."

Troubleshooting MeetingPulse MCP Server with Mastra AI

Common issues when connecting MeetingPulse to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

MeetingPulse + Mastra AI FAQ

Common questions about integrating MeetingPulse MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect MeetingPulse to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.