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How to Use the Nozbe MCP in Mastra AI

Build resilient task workflows in Mastra AI using Nozbe as your command center.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Nozbe MCP to Mastra AI

Create your Vinkius account to connect Nozbe 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.

GDPR Free for Subscribers

Automated task branching

Use `list_tasks` to feed your Mastra AI workflow engine. You can build logic that triggers specific branches based on task status or priority. This removes the need for manual oversight. Your agent evaluates the data and decides whether to create a new record or modify an existing one.

Reliable task execution

Deploy complex sequences that call `create_task` and `update_task` with built-in retry logic. If the API hits a limit, your agent handles the backoff. This ensures your workflow doesn't break when things get busy. Your operations stay consistent because the agent manages the state transitions for you.

Human-in-the-loop controls

Require manual approval for critical actions like `delete_task` within your Mastra AI agent. You get the speed of automation with the safety of human review. It gives you total control over destructive operations. Your team stays informed while the agent handles the routine synchronization of your projects.

Setup guide

Set up Nozbe 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Nozbe tools become native Mastra tools.

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nozbe. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Nozbe MCP in Mastra AI

Absolutely. You plug the tools into your agent definition, and it executes tasks based on the workflow logic you define.
You configure retry policies in your agent. The server reports the error, and your workflow decides whether to pause or attempt the action again.
It will. You use the tools to check statuses at each node of your workflow to decide which path the agent takes next.
Your history stays local to your agent execution environment. The server only transmits the specific data points requested during the task.
You can. Set up your agent to run on a cron schedule, and it will use the tools to list and update your tasks automatically.

Start using the Nozbe MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Nozbe. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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