How to Use the NetBird MCP in Mastra AI

Q: Does Mastra AI support human approval for NetBird?

Yes, use the requireToolApproval setting. This forces the agent to pause before executing critical actions like deletenetwork or updatepolicy.

Q: Can I automate peer cleanup using NetBird and Mastra AI?

You can. Write a workflow that uses listpeers to identify inactive devices and deletepeer to remove them, keeping your network clean.

Build resilient networking workflows with Mastra AI and NetBird. Automate your Zero Trust security stack today.

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Connect NetBird MCP to Mastra AI

Create your Vinkius account to connect NetBird 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 NetBird with Mastra AI

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Perplexity

Automated Network Workflows with Mastra AI

Chain complex operations like `create_network` followed by `create_group` and `create_policy`. Mastra AI manages the sequence and handles retries. If a step fails, the agent retries with backoff. It ensures your infrastructure is configured correctly every single time.

Conditional Access Management

Implement branching logic for peer access. If a posture check fails, the agent uses `create_posture_check` to verify the state before deciding to block or grant access. This adds a layer of intelligence to your security. You aren't just running commands; you're building a decision engine.

Centralized MSP Tenant Administration

Manage multiple client environments from one agent. Use `create_msp_tenant` and `update_msp_tenant` to scale your operations across different networks. It centralizes your management tasks. The agent handles the context switching between tenants so you don't have to.

Setup guide

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

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

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

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Common questions about NetBird MCP in Mastra AI

You define an agent, import the MCP tools, and write a workflow that calls `create_network` and `create_policy`. Mastra AI handles the execution flow.

Yes, use the `requireToolApproval` setting. This forces the agent to pause before executing critical actions like `delete_network` or `update_policy`.

You can. Write a workflow that uses `list_peers` to identify inactive devices and `delete_peer` to remove them, keeping your network clean.

Mastra AI includes built-in retry logic. If the NetBird server returns a rate limit error, the agent waits and tries again automatically.

The server exposes metadata like peer names, IP addresses, and audit event logs. All access is scoped to the credentials provided in your configuration.

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