How to Use the HyperDX (Open Source Observability) MCP in Vercel AI SDK

Q: Can I build a live-updating alert manager using HyperDX (Open Source Observability) and Vercel AI SDK?

Yes. Your application uses listalerts to display current rules and lets users modify them. When they request changes, the SDK triggers createalert or deletealert to update HyperDX in real time.

Q: How does Vercel AI SDK handle large log payloads from HyperDX (Open Source Observability)?

It handles them by chunking the output of listlogs and rendering it line-by-line. This avoids browser timeouts and keeps memory usage low during intense debugging sessions.

Stream live logs and trace events directly into your Vercel AI SDK interface using this MCP server.

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Connect HyperDX (Open Source Observability) MCP to Vercel AI SDK

Create your Vinkius account to connect HyperDX (Open Source Observability) to Vercel AI SDK 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 HyperDX (Open Source Observability) with Vercel AI SDK

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Stream Production Logs Live using Vercel AI SDK

The `list_logs` tool pulls structured logs directly into your application's edge runtime. Instead of waiting for a massive payload to download, your interface streams log lines as they hit HyperDX. Your React components render the stream instantly. The client uses `list_events` to grab trace spans and append them to the UI without blocking the main thread.

Render Observability Dashboards on the Edge

The `get_dashboard` tool fetches layout and widget configurations directly from your HyperDX organization. Your application maps these configurations to custom UI components, rendering visual charts without heavy client-side processing. By combining `list_dashboards` with streaming text outputs, you display active metrics beside chat interfaces. Your users inspect system health without leaving the application window.

Manage Alerts Directly via this MCP Server

The `create_alert` tool registers new monitoring rules directly from user prompts. When an engineer describes a failure state, the system creates the alert rule instantly. If an alert becomes too noisy, the `delete_alert` tool removes it from HyperDX. You control alert volume directly from your chat UI, keeping your pager quiet.

Setup guide

Set up HyperDX (Open Source Observability) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all HyperDX (Open Source Observability) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent HyperDX (Open Source Observability) transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HyperDX. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about HyperDX (Open Source Observability) MCP in Vercel AI SDK

You initialize the MCP client in your route handler and pass the tools directly to `streamText`. The edge function calls `list_logs` or `list_events` and streams the JSON chunks directly to your frontend components.

Yes. Your application uses `list_alerts` to display current rules and lets users modify them. When they request changes, the SDK triggers `create_alert` or `delete_alert` to update HyperDX in real time.

It handles them by chunking the output of `list_logs` and rendering it line-by-line. This avoids browser timeouts and keeps memory usage low during intense debugging sessions.

Install the core packages and initialize the HTTP transport pointing to your Vinkius endpoint. Register the tools in your agent configuration, then call the tools to fetch dashboards or logs.

All log files, trace events, and alert configurations stay inside your secure V8 sandbox. This server acts as a pass-through to HyperDX, utilizing temporary tokens that expire immediately after your query finishes.

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