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Olostep MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Olostep Status, Create Agent, Create Batch, and more

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Olostep 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 Olostep app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 10 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 Olostep, 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 Olostep MCP Server

Connect your Olostep account to any AI agent and take full control of your web scraping orchestration and automated data extraction workflows through natural conversation.

The Vercel AI SDK gives every Olostep 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

  • Scraping Batch Orchestration — List and manage your entire portfolio of scraping batches programmatically, retrieving detailed technical status and URL counts
  • URL Extraction Intelligence — Programmatically trigger and monitor real-time URL scrapes to maintain a perfectly coordinated knowledge pipeline
  • Agent & Schedule Architecture — Access your complete directory of research agents and automated schedules to oversee your organizational data ingestion
  • Hosted Result Monitoring — Access hosted result URLs (Markdown, JSON) and retrieve technical metadata for your research archive in real-time
  • Operational Monitoring — Verify account-level API connectivity and monitor scraping volume directly through your agent for perfectly coordinated service scaling

The Olostep 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.

All 10 Olostep tools available for Vercel AI SDK

When Vercel AI SDK connects to Olostep through Vinkius, your AI agent gets direct access to every tool listed below — spanning headless-browser, data-extraction, 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.

check_olostep_status

Verify Olostep API connectivity

create_agent

Create a scraping agent

create_batch

Pass URLs as comma-separated values. Create a batch scrape

get_agent

Get agent details

get_batch

Get batch details

get_batch_results

Get batch results

get_usage

Get API usage stats

list_agents

List scraping agents

list_batches

List all batches

scrape_url

Optionally specify format: markdown, html, or text. Scrape a web page

Connect Olostep to Vercel AI SDK via MCP

Follow these steps to wire Olostep 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 10 tools from Olostep and passes them to the LLM

Why Use Vercel AI SDK with the Olostep MCP Server

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

03

Built-in streaming UI primitives let you display Olostep 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

Olostep + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Olostep in Vercel AI SDK

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

01

"Scrape the homepage of example.com as markdown."

02

"Create a batch scrape for 5 competitor product pages."

03

"Show my Olostep API usage this month."

Troubleshooting Olostep MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Olostep + Vercel AI SDK FAQ

Common questions about integrating Olostep 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.