Browse AI MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
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
Vinkius supports streamable HTTP and SSE.
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();
* 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 operations through natural conversation.
The Vercel AI SDK gives every Browse AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 Discovery — List all your trained extraction and monitoring robots along with their configuration details
- Execute Scrapes — Trigger specific robots to run tasks on target URLs without lifting a finger
- Data Retrieval — Instantly download the final extracted JSON data from any successfully completed task
- Bulk Operations — Initiate multi-URL concurrent extractions and download the unified bulk datasets
- Monitor Sync — Check the status of your active web change monitors
- Quota Management — Retrieve your current API credits usage and monthly plan limits
The Browse AI MCP Server exposes 10 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.
How to Connect Browse AI to Vercel AI SDK via MCP
Follow these steps to integrate the Browse AI MCP Server with Vercel AI SDK.
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 10 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.
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 Browse AI integration everywhere
Built-in streaming UI primitives let you display Browse AI 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
Browse AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Browse AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Browse AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Browse AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Browse AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Browse AI through natural language queries
Browse AI MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Browse AI to Vercel AI SDK via MCP:
download_bulk_data
Returns a JSON array where each element contains the capturedData from one task. Download all extracted results from a completed Browse AI bulk run
get_bulk_task
Get bulk task execution status from Browse AI
get_robot
Get detailed configuration of a specific Browse AI robot
get_task
Check the status of a specific Browse AI extraction task
get_task_data
Only meaningful when the task status is "successful". Fields match the column names configured in the Browse AI robot builder hitting internal task references. Retrieve the final extracted JSON data from a successful Browse AI task
list_credits
Check Browse AI quota limits and credit usage
list_monitors
Monitors run on scheduled intervals to detect changes on target web pages and trigger notifications or data captures automatically via `/monitors`. List all active Browse AI web monitoring robots
list_robots
Each robot represents a no-code AI scraping workflow targeting a specific website or data pattern via `GET /robots`. List all Browse AI extraction and monitoring robots
run_bulk_task
Each set typically contains a different "originUrl". All extractions run concurrently on Browse AI infrastructure. Run a Browse AI robot in bulk mode across multiple URLs
run_robot
Pass a JSON string of input parameters (typically including "originUrl" for the target page and any variable fields the robot expects). Returns a taskId. Trigger a Browse AI robot to extract data from a target URL
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.
"List all my robots. Which ones are built for monitoring?"
"Run my HackerNews Scraper robot on the main page."
"Retrieve the JSON data for task t-78ab31."
Troubleshooting Browse AI MCP Server with Vercel AI SDK
Common issues when connecting Browse AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBrowse AI + Vercel AI SDK FAQ
Common questions about integrating Browse AI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Browse AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Browse AI to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.