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How to Use the Hexometer MCP in Vercel AI SDK

Build real-time site monitoring dashboards in Next.js by streaming Hexometer data directly through the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Hexometer MCP to Vercel AI SDK

Create your Vinkius account to connect Hexometer 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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Stream Uptime Metrics to React

Your Vercel AI SDK application can pull live metrics using `get_uptime_stats` and `get_site_health` to render status pages instantly. Instead of making users wait for a large payload to resolve, the agent streams the historical uptime data directly into your frontend components. You get the exact percentage drops and response times without building custom backend polling logic. The MCP integration handles the transport layer while your Next.js app just receives the chunks and updates the DOM.

Run Speed Tests from the Edge

Running `check_speed_desktop` and `check_speed_mobile` through your MCP Server lets you build an interactive diagnostic tool where users type a URL and watch the scores generate. The agent evaluates the asset details and paints the results onto the screen as they arrive. Nobody wants to stare at a spinner while a Lighthouse-style test runs. By calling these endpoints via streamText, the interface updates progressively, showing exactly which JavaScript files are blocking the main thread before the full test even finishes.

Surface SEO Audits via Vercel AI SDK

Connect `run_seo_audit` to an input field and let your users ask for a site breakdown in plain English. The agent triggers the audit, parses the raw output, and builds a custom UI showing meta tag failures or missing canonicals. You can pair this with `check_page_errors` to catch heavy assets ruining the user experience. The SDK processes the tool call and streams the exact failing script URLs right into your Svelte or Vue dashboard.

Setup guide

Set up Hexometer 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Hexometer tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Hexometer transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hexometer. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Hexometer MCP in Vercel AI SDK

Install @ai-sdk/mcp and map the endpoint using createMCPClient. You pass the HTTP transport URL, then inject the tools straight into streamText.
Yes. Call `list_recent_alerts` and the SDK will chunk the active monitoring notifications into your React frontend. Users see the 404 spikes or downtime warnings appear in real-time.
It works perfectly. The MCP connection relies on standard HTTP requests, meaning you can trigger a `check_broken_links` scan without spinning up a heavy Node server.
You skip writing boilerplate wrappers for 11 different endpoints. The agent knows exactly how to format the arguments for `list_monitored_sites` and interpret the response payload on the fly.
The MCP protocol operates in a zero-trust sandbox. The only data transmitted is the target URL being tested for `get_security_status` and SSL health. Vinkius handles the endpoint token ephemerally, meaning your dashboard users never expose their personal credentials to the auditing engine.

Start using the Hexometer MCP today

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Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for Hexometer. Just plug in your AI agents and start using Vinkius.

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All 11 tools are live and waiting. You're up and running in seconds.

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