How to Use the Plaud MCP in Mastra AI

Q: Can I use Plaud to trigger conditional logic in Mastra AI?

You can. Use getsummary to analyze meeting content and have your agent perform different actions based on the output.

Build resilient Plaud workflows with Mastra AI. Automate your meeting follow-ups with built-in retries and failure handling.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Plaud MCP to Mastra AI

Create your Vinkius account to connect Plaud to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Plaud with Mastra AI

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Claude

Perplexity Vinkius runs on Gemini

Gemini

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Complex Plaud workflow automation

Chain your operations together using `list_files` and `get_summary` to process recordings in bulk. If one step fails, Mastra handles the retry logic automatically. It’s built for reliability. You can define branching logic that acts differently based on what the summary says.

Controlled Plaud tool execution

Add human-in-the-loop checks before sensitive actions like `delete_file`. Require approval for any destructive task to keep your workspace clean but safe. You can also use `list_tags` to trigger specific workflows, like archiving all files marked as 'personal' without manual effort.

Robust Plaud account oversight

Use `get_me` to verify account status before starting a long-running job. If the API returns an error, the workflow pauses until you resolve the issue. It gives you a clear view of your environment. You'll know exactly which account is running the operations, preventing cross-workspace accidents.

Setup guide

Set up Plaud 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 Plaud 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: "plaud-mcp-client",
  servers: {
    "plaud-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Plaud MCP in Mastra AI

Register the server in your Mastra config and spread the tools into your agent definition. The framework handles the connection automatically.

Yes. You can configure automatic exponential backoff for any Plaud tool call to ensure your workflow completes even during temporary network hiccups.

You can. Use `get_summary` to analyze meeting content and have your agent perform different actions based on the output.

Use the required tool approval feature to force a human review for any action that modifies or removes your recording data.

It only accesses the audio files, metadata, and generated transcripts associated with your account. Access is restricted to the specific tools you expose to your agents.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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