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Netdata MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Get Agent Info, Get Alarms, Get All Metrics, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Netdata through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Netdata MCP Server for Vercel AI SDK is a standout in the Cloud Infrastructure category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

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

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Netdata, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Netdata
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* 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 Netdata MCP Server

Connect your Netdata monitoring infrastructure to any AI agent for instant, real-time observability and performance analysis through natural language.

The Vercel AI SDK gives every Netdata tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Real-time Metrics — Fetch granular data from specific charts (CPU, RAM, Disk, Network) using get_chart_data to diagnose performance bottlenecks.
  • Agent Health — Inspect node versions, host information, and enabled features with get_agent_info and list_charts.
  • Alert Management — Query active alarms on local agents via get_alarms or monitor space-wide critical issues using list_space_alerts.
  • Cloud Orchestration — Navigate your entire infrastructure by listing spaces, rooms, and nodes connected to Netdata Cloud.
  • Scraping & Export — Retrieve all metrics in a format suitable for external analysis tools using get_all_metrics.

The Netdata MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Netdata tools available for Vercel AI SDK

When Vercel AI SDK connects to Netdata through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time-monitoring, infrastructure-observability, system-metrics, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get agent info on Netdata

Get Netdata Agent information

get

Get alarms on Netdata

Get current status of all configured alarms

get

Get all metrics on Netdata

Get all metrics for scraping

get

Get chart data on Netdata

Fetch metric data from a specific chart

list

List charts on Netdata

). List all available charts on the node

list

List room nodes on Netdata

List nodes within a specific room

list

List rooms on Netdata

List rooms within a specific space

list

List space alerts on Netdata

Fetch active alerts across the space

list

List space nodes on Netdata

List all nodes connected to a space

list

List spaces on Netdata

List all Netdata Cloud spaces

Connect Netdata to Vercel AI SDK via MCP

Follow these steps to wire Netdata into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 10 tools from Netdata and passes them to the LLM

Why Use Vercel AI SDK with the Netdata MCP Server

Vercel AI SDK provides unique advantages when paired with Netdata through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Netdata integration everywhere

03

Built-in streaming UI primitives let you display Netdata tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Netdata + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Netdata MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Netdata in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Netdata tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Netdata capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Netdata through natural language queries

Example Prompts for Netdata in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Netdata immediately.

01

"Get the current information and version of the Netdata agent."

02

"List all available charts on this node so I can see what metrics are being collected."

03

"Are there any active alarms or warnings on the local agent right now?"

Troubleshooting Netdata MCP Server with Vercel AI SDK

Common issues when connecting Netdata to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Netdata + Vercel AI SDK FAQ

Common questions about integrating Netdata MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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