How to Use the Amplenote MCP in Mastra AI

Q: How do I register the Amplenote MCP server tools in Mastra AI?

Install @mastra/mcp and instantiate the client with your Vinkius URL. Then, call listTools() on the client and spread those tools directly into your Mastra agent configuration block.

Q: Can Mastra AI handle conditional logic based on Amplenote task priorities?

Yes, you can design workflows that fetch tasks using gettask and branch based on the priority metadata. If a task is overdue, the agent can trigger escalations automatically.

Q: Does Mastra AI support human-in-the-loop approvals for destructive Amplenote actions?

Yes, you can set requireToolApproval specifically for the deletenote tool. This ensures the Mastra agent pauses and requests your permission before permanently removing any workspace files.

Run automated, multi-step workflows on your Amplenote workspace using Mastra AI MCP.

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Connect Amplenote MCP to Mastra AI

Create your Vinkius account to connect Amplenote 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 Amplenote with Mastra AI

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Automated Task Triage Workflows

Calling `list_tasks` lets Mastra AI fetch your outstanding items and apply custom conditional logic to reorganize them based on due dates. If an API call fails during a task update, Mastra's built-in retry engine handles backoffs for `update_task` automatically. It keeps trying until the changes are saved, ensuring your dashboard stays synchronized without manual intervention.

Structured Note Generation Pipelines

Executing `create_note` allows your agent to draft clean markdown summaries immediately after your meetings finish. You can configure human-in-the-loop approvals using Mastra's `requireToolApproval` setting. This stops the agent from running `delete_note` or modifying critical project plans until you click confirm in your admin dashboard.

Run Deep Workspace Audits via Mastra AI MCP Server

Looping through `list_notes` lets your Mastra AI agent run scheduled audits across your entire workspace. Once the audit finishes, the agent uses `update_note` to append a status report directly to your primary dashboard note, keeping your team aligned on what needs attention.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Amplenote. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Amplenote MCP in Mastra AI

Install `@mastra/mcp` and instantiate the client with your Vinkius URL. Then, call `listTools()` on the client and spread those tools directly into your Mastra agent configuration block.

Yes, you can design workflows that fetch tasks using `get_task` and branch based on the priority metadata. If a task is overdue, the agent can trigger escalations automatically.

Yes, you can set `requireToolApproval` specifically for the `delete_note` tool. This ensures the Mastra agent pauses and requests your permission before permanently removing any workspace files.

Mastra compiles your agent and its tools into a standard deployment package. You can push this to any cloud provider, and it will communicate with the Vinkius MCP endpoint via SSE or HTTP transport.

Yes, Mastra connects to the server inside an ephemeral V8 sandbox. This MCP connection ensures your markdown notes, task lists, and tag taxonomies are processed in memory and never stored on Vinkius servers after the request completes.

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