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Geekflare MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to Check Broken Links, Get Dns Records, Get Whois Data, and more

Built by Vinkius GDPR 7 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Geekflare 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 App Connector for Vercel AI SDK

The Geekflare app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Geekflare, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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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 Geekflare MCP Server

Connect your Geekflare account to any AI agent and simplify how you monitor website performance, secure your domains, and analyze SEO health through natural conversation.

The Vercel AI SDK gives every Geekflare tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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

  • Audit & SEO — Run full Google Lighthouse audits to measure speed, accessibility, and search engine optimization.
  • Performance Testing — Measure server response times (TTFB) and overall page load speed to identify bottlenecks.
  • Security Scanning — Analyze SSL/TLS certificates for validity and security vulnerabilities in real-time.
  • Network Intelligence — Retrieve DNS records (A, MX, CNAME, TXT) and Whois registration data for any domain.
  • Link Oversight — Automatically identify broken links (404s) on any page to improve user experience.
  • Visual Monitoring — Capture full-page screenshots of target URLs programmatically via AI.
  • Operational Visibility — Verify API health and monitor your digital infrastructure directly from the agent.

The Geekflare MCP Server exposes 7 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Geekflare tools available for Vercel AI SDK

When Vercel AI SDK connects to Geekflare through Vinkius, your AI agent gets direct access to every tool listed below — spanning website-auditing, performance-testing, security-scanning, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_broken_links

Identify broken links on a page

get_dns_records

Retrieve DNS records

get_whois_data

Retrieve Whois information

measure_load_time

Measure page speed and TTFB

run_lighthouse_audit

Run Lighthouse SEO/Performance audit

scan_ssl_tls_cert

Scan SSL/TLS certificate

take_website_screenshot

Capture a website screenshot

Connect Geekflare to Vercel AI SDK via MCP

Follow these steps to wire Geekflare into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 7 tools from Geekflare and passes them to the LLM

Why Use Vercel AI SDK with the Geekflare MCP Server

Vercel AI SDK provides unique advantages when paired with Geekflare 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 Geekflare integration everywhere

03

Built-in streaming UI primitives let you display Geekflare 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

Geekflare + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Geekflare in Vercel AI SDK

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

01

"Run a Lighthouse audit for 'https://google.com'."

02

"Check for broken links on 'https://example.com/blog'."

03

"What are the MX and A records for 'apple.com'?"

Troubleshooting Geekflare MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Geekflare + Vercel AI SDK FAQ

Common questions about integrating Geekflare 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.