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Octoparse MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Get New Data, Get Task Data, Get Task Status, and more

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Octoparse 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 Octoparse app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 8 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 Octoparse, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Octoparse
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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 Octoparse MCP Server

Connect your Octoparse account to any AI agent and take full control of your web data orchestration through natural conversation. Octoparse is the premier no-code web scraping tool, and this integration allows you to retrieve task metadata, trigger cloud extractions, and ingest structured web data directly from your chat interface.

The Vercel AI SDK gives every Octoparse tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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

  • Task & Group Orchestration — List all managed scraping tasks and retrieve detailed group metadata programmatically to ensure your data foundation is always synchronized.
  • Cloud Extraction Control — Start and stop cloud-based scraping tasks directly from the AI interface to rapidly gather real-time data from any website.
  • Extraction Intelligence — Retrieve extracted data in bulk or filter for 'non-exported' records via natural language to drive better research efficiency.
  • Status Monitoring Oversight — Access real-time task statuses (Running, Completed, Stopped) using simple AI commands to ensure your data collection is always optimized.
  • Operational Monitoring — Track system responses and manage data status updates to maintain a high-fidelity interaction history.

The Octoparse MCP Server exposes 8 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 8 Octoparse tools available for Vercel AI SDK

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

get_new_data

Get new (non-exported) data from a task

get_task_data

Get extracted data from a task by offset

get_task_status

Get status of a scraping task

list_task_groups

List all task groups

list_tasks

Can be filtered by task group ID. List tasks

start_task

Start a scraping task

stop_task

Stop a scraping task

update_data_status

Mark data as exported

Connect Octoparse to Vercel AI SDK via MCP

Follow these steps to wire Octoparse 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 8 tools from Octoparse and passes them to the LLM

Why Use Vercel AI SDK with the Octoparse MCP Server

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

03

Built-in streaming UI primitives let you display Octoparse 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

Octoparse + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Octoparse in Vercel AI SDK

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

01

"List all my scraping tasks in Octoparse."

02

"Start running my Amazon product scraping task and check its current status."

03

"Get the extracted data from my latest completed scraping task."

Troubleshooting Octoparse MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Octoparse + Vercel AI SDK FAQ

Common questions about integrating Octoparse 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.