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
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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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();
* 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_datato diagnose performance bottlenecks. - Agent Health — Inspect node versions, host information, and enabled features with
get_agent_infoandlist_charts. - Alert Management — Query active alarms on local agents via
get_alarmsor monitor space-wide critical issues usinglist_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 agent info on Netdata
Get Netdata Agent information
Get alarms on Netdata
Get current status of all configured alarms
Get all metrics on Netdata
Get all metrics for scraping
Get chart data on Netdata
Fetch metric data from a specific chart
List charts on Netdata
). List all available charts on the node
List room nodes on Netdata
List nodes within a specific room
List rooms on Netdata
List rooms within a specific space
List space alerts on Netdata
Fetch active alerts across the space
List space nodes on Netdata
List all nodes connected to a space
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.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Netdata integration everywhere
Built-in streaming UI primitives let you display Netdata tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query Netdata in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Netdata tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Netdata capabilities into conversational interfaces with streaming responses and tool call visibility
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.
"Get the current information and version of the Netdata agent."
"List all available charts on this node so I can see what metrics are being collected."
"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.
createMCPClient is not a function
npm install @ai-sdk/mcpNetdata + Vercel AI SDK FAQ
Common questions about integrating Netdata MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Explore More MCP Servers
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