How to Use the Magic Minutes MCP in Mastra AI

Build resilient meeting workflows in Mastra AI with automatic retries and conditional task routing.

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Connect Magic Minutes MCP to Mastra AI

Create your Vinkius account to connect Magic Minutes to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Magic Minutes with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Automated workflow orchestration

Define complex steps that trigger `create_task` only after `get_meeting_minutes` completes successfully. Mastra AI manages the state. If a network glitch occurs, the workflow retries the operation automatically. Your logic stays clean and predictable.

Conditional task assignment logic

Route meeting outcomes based on participant roles found via `list_meeting_attendees`. You dictate the flow. Use branching to decide if a task needs human approval or direct creation. It turns raw transcripts into structured company operations.

Fail-safe MCP Server interaction

Set explicit requirements for tool execution using the built-in MCP client. Your workflows won't proceed until the server returns valid data. Check `check_api_health` at the start of every run. If the connection drops, your agent halts and notifies you before moving forward.

Setup guide

Set up Magic Minutes MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Magic Minutes tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "magic-minutes-mcp-client",
  servers: {
    "magic-minutes-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Magic Minutes Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Magic Minutes tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Magic Minutes transactions"
);
console.log(result.text);

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Common questions about Magic Minutes MCP in Mastra AI

Create a new client instance pointing to your server URL. You then spread the tools into your agent definition to give it access to your meeting data.

Yes. Enable tool approval in your agent config. This forces the agent to pause before calling `create_task` until you sign off.

All meeting transcripts are processed through a zero-trust sandbox. Only the specific data you request is shared with your agent process.

The server supports standard SSE and HTTP transports. It works immediately with your existing cloud-deployed agent workflows.

Mastra provides built-in logging for every tool execution. You can inspect the inputs and outputs of `list_meetings` directly in your console.

Use it with your favorite AI tools

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