ngrok MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 7 tools to List Api Keys, List Endpoints, List Https Edges, and more

Name: ngrok
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The ngrok MCP Server for Vercel AI SDK is a standout in the Loved By Devs category — giving your AI agent 7 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 ngrok, 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 ngrok MCP Server

Connect your ngrok account to any AI agent and take full control of your ingress infrastructure through natural conversation.

The Vercel AI SDK gives every ngrok 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

Endpoints & Edges — List all active public URLs (ephemeral, edge, or cloud) and inspect HTTPS edges for advanced routing configurations
Security & Access — Audit IP policies and restrictions applied to your dashboard, API, or agents to ensure secure access
Domain Management — Retrieve all custom domains reserved for your applications directly from the ngrok cloud
Credential Management — List API keys used for authentication and manage secure vaults for sensitive values
Infrastructure Visibility — Get a bird's-eye view of your entire tunneling setup without leaving your terminal or chat interface

The ngrok MCP Server exposes 7 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 7 ngrok tools available for Vercel AI SDK

When Vercel AI SDK connects to ngrok through Vinkius, your AI agent gets direct access to every tool listed below — spanning tunneling, ingress, api-gateway, 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.

list

List api keys on ngrok

List ngrok API keys

list

List endpoints on ngrok

List ngrok endpoints

list

List https edges on ngrok

List ngrok HTTPS edges

list

List ip policies on ngrok

List ngrok IP policies

list

List ip restrictions on ngrok

List ngrok IP restrictions

list

List reserved domains on ngrok

List ngrok reserved domains

list

List vaults on ngrok

List ngrok vaults

Connect ngrok to Vercel AI SDK via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

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

Explore tools

The SDK discovers 7 tools from ngrok and passes them to the LLM

Why Use Vercel AI SDK with the ngrok MCP Server

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

Built-in streaming UI primitives let you display ngrok 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

ngrok + Vercel AI SDK Use Cases

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

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

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

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

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

Example Prompts for ngrok in Vercel AI SDK

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

"List all active ngrok endpoints."

"Show me the reserved domains in my account."

"What IP policies are currently configured?"

Troubleshooting ngrok MCP Server with Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

ngrok + Vercel AI SDK FAQ

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

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.