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ncScale MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ncScale through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "ncscale": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "ncScale Agent",
    instructions:
      "You help users interact with ncScale " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with ncScale?"
  );
  console.log(result.text);
}

main();
ncScale
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About ncScale MCP Server

Connect your ncScale observability platform to your AI agent and gain full visibility into your no-code infrastructure through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and ncScale tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Node Monitoring — List all no-code elements (nodes) being monitored and get detailed configuration and status updates.
  • Real-time Logs — Access recent activity and execution logs across your entire no-code stack.
  • Incident Management — Track active alerts and associated support tickets to ensure high availability.
  • Dashboards & Insights — View your custom observability dashboards and workspace metadata.
  • Integration Oversight — Monitor third-party tools (Bubble, Airtable, etc.) connected to your ncScale account.
  • Deep Inspection — Fetch complete metadata for specific nodes or alerts using their unique IDs.

The ncScale MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect ncScale to Mastra AI via MCP

Follow these steps to integrate the ncScale MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from ncScale via MCP

Why Use Mastra AI with the ncScale MCP Server

Mastra AI provides unique advantages when paired with ncScale through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ncScale without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every ncScale tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

ncScale + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the ncScale MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query ncScale, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed ncScale as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query ncScale on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using ncScale tools alongside other MCP servers

ncScale MCP Tools for Mastra AI (10)

These 10 tools become available when you connect ncScale to Mastra AI via MCP:

01

get_alert

Get specific alert info

02

get_node

Get specific node details

03

get_workspace_info

Get workspace metadata

04

list_alerts

List active monitoring alerts

05

list_dashboards

List observability dashboards

06

list_integrations

g., Bubble, Airtable) connected to ncScale. List active integrations

07

list_logs

List monitoring logs

08

list_nodes

List monitored no-code nodes

09

list_tickets

List monitoring tickets

10

list_users

List workspace users

Example Prompts for ncScale in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with ncScale immediately.

01

"List all monitored nodes in my ncScale workspace."

02

"Show me the latest monitoring logs."

03

"Check if there are any active alerts right now."

Troubleshooting ncScale MCP Server with Mastra AI

Common issues when connecting ncScale to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

ncScale + Mastra AI FAQ

Common questions about integrating ncScale MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect ncScale to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.