4,000+ servers built on vurb.ts
Vinkius

Browse AI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Monitor, Get Robot Details, Get Run Status, and more

MCP Inspector GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Browse AI 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 Browse AI MCP Server for Vercel AI SDK is a standout in the Data Management category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
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 Browse AI, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Browse AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Browse AI MCP Server

Connect your Browse AI account to any AI agent and take full control of your no-code web scraping and automated monitoring workflows through natural conversation.

The Vercel AI SDK gives every Browse AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Robot Orchestration — List and manage all web scraping robots in your account programmatically, retrieving detailed configuration and high-fidelity extraction history
  • Automated Task Execution — Programmatically trigger new robot runs with custom parameters (e.g., origin URL) to coordinate high-fidelity data collection in real-time
  • Website Monitoring Intelligence — Create and manage monitoring schedules to track changes on any website and maintain a perfectly coordinated data pipeline
  • Event Architecture — Access and monitor robot webhooks for instant notifications and retrieve detailed log metadata directly through your agent
  • Financial Visibility — Programmatically track your account subscription status and credit usage to coordinate your automated data quotas efficiently

The Browse AI MCP Server exposes 12 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 12 Browse AI tools available for Vercel AI SDK

When Vercel AI SDK connects to Browse AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-extraction, no-code, web-monitoring, 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.

create

Create monitor on Browse AI

Add new schedule

get

Get robot details on Browse AI

Get robot info

get

Get run status on Browse AI

Check task progress

get

Get usage quotas on Browse AI

Check credit balance

get

Get user profile on Browse AI

Get account info

list

List active monitors on Browse AI

List scheduled scrapers

list

List bulk operations on Browse AI

List bulk task runs

list

List robot history on Browse AI

List past runs

list

List robot webhooks on Browse AI

Get event configs

list

List robots on Browse AI

List scraping robots

remove

Remove webhook on Browse AI

Delete robot webhook

trigger

Trigger robot run on Browse AI

Start scraping task

Connect Browse AI to Vercel AI SDK via MCP

Follow these steps to wire Browse AI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 12 tools from Browse AI and passes them to the LLM

Why Use Vercel AI SDK with the Browse AI MCP Server

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

03

Built-in streaming UI primitives let you display Browse AI 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

Browse AI + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Browse AI in Vercel AI SDK

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

01

"List all available scraping robots in my account."

02

"Trigger robot 'rob_123' to scrape 'https://vinkius.com/pricing'."

03

"Check the status and results for task 'task_456'."

Troubleshooting Browse AI MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Browse AI + Vercel AI SDK FAQ

Common questions about integrating Browse AI 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.

Explore More MCP Servers

View all →