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
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
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();
* 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.
Verify Olostep API connectivity
Create a scraping agent
Pass URLs as comma-separated values. Create a batch scrape
Get agent details
Get batch details
Get batch results
Get API usage stats
List scraping agents
List all batches
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.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
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.
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 Olostep integration everywhere
Built-in streaming UI primitives let you display Olostep 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
Olostep + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Olostep MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Olostep in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Olostep tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Olostep capabilities into conversational interfaces with streaming responses and tool call visibility
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.
"Scrape the homepage of example.com as markdown."
"Create a batch scrape for 5 competitor product pages."
"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.
createMCPClient is not a function
npm install @ai-sdk/mcpOlostep + Vercel AI SDK FAQ
Common questions about integrating Olostep 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.