How to Use the Northflank (Developer Cloud & Orchestration) MCP in Mastra AI

Q: How do I configure Northflank (Developer Cloud & Orchestration) inside Mastra AI?

Install @mastra/mcp@latest. Initialize new MCPClient() with your Vinkius server URL. Mastra auto-detects the transport layer and loads the tools directly into your agent.

Q: How does Mastra AI handle failed Northflank (Developer Cloud & Orchestration) builds?

The framework applies automatic retries. If triggerbuild times out or fails, Mastra waits and tries again based on your backoff configuration before marking the workflow as failed.

Q: Do I need to approve destructive actions?

You should. Enable requireToolApproval for tools like the project deletion command. This puts a human in the loop before the agent wipes out an active environment.

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Connect Northflank (Developer Cloud & Orchestration) MCP to Mastra AI

Create your Vinkius account to connect Northflank (Developer Cloud & Orchestration) 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 Northflank (Developer Cloud & Orchestration) with Mastra AI

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Resilient infrastructure scaling

`restart_service` gracefully cycles container replicas to clear transient RAM accumulation on specific services. Mastra AI wraps this in its workflow engine. If the restart fails, the framework automatically retries with exponential backoff so your pipeline doesn't crash. You build workflows that react to live outages. The agent checks horizontal scaling needs via `get_service`. If the node struggles, it triggers the restart and waits for confirmation before notifying your team.

Multi-step Northflank MCP Server pipelines

`create_project` acts as the crucial first step in your Mastra AI bootstrapping sequence, provisioning an isolated project space. The framework's conditional branching ensures the next step only fires if the region routing assigns correctly. From there, the agent chains commands. It calls `trigger_build` to compile code, then uses `list_jobs` to verify cron tasks started successfully. If a build fails, the workflow branches to an alert state and pages the on-call engineer.

Automated teardown and cleanup

`delete_project` eliminates the Northflank project boundary entirely, severing traffic routing and killing active microservices. You configure Mastra to run this automatically for ephemeral staging environments right after a pull request merges. Before deletion, the agent audits the environment. It runs `list_secrets` to log which database URLs and variables were injected. This ensures you keep a permanent audit trail of the discarded project.

Setup guide

Set up Northflank (Developer Cloud & Orchestration) 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 Northflank (Developer Cloud & Orchestration) 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: "northflank-developer-cloud-orchestration-mcp-client",
  servers: {
    "northflank-developer-cloud-orchestration-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Northflank (Developer Cloud & Orchestration) transactions"
);
console.log(result.text);

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Common questions about Northflank (Developer Cloud & Orchestration) MCP in Mastra AI

Install `@mastra/mcp@latest`. Initialize `new MCPClient()` with your Vinkius server URL. Mastra auto-detects the transport layer and loads the tools directly into your agent.

That is exactly what it does. You build branching paths where the agent checks `list_services` first. If a service is missing, it branches to a setup routine.

The framework applies automatic retries. If `trigger_build` times out or fails, Mastra waits and tries again based on your backoff configuration before marking the workflow as failed.

You should. Enable `requireToolApproval` for tools like the project deletion command. This puts a human in the loop before the agent wipes out an active environment.

The server processes project metadata and environment variables. Vinkius runs this MCP connection through ephemeral, zero-trust sandboxes. Your Mastra workflows receive the data securely without storing permanent credentials on the agent side.

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