How to Use the Olostep MCP in Cursor

Q: How do I add Olostep to my Cursor project?

Create an .cursor/mcp.json file in your project root. Add the server command in that file, and Cursor will detect the tools as soon as you enable Agent mode.

Q: Can I use Olostep for batch scraping in Cursor?

Yes, you can use createbatch to send a list of URLs and then poll for results. It is ideal for when you need to gather large datasets for your project.

Feed live web data into Cursor. Use Olostep to scrape target sites and inject fresh content directly into your codebase.

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Connect Olostep MCP to Cursor

Create your Vinkius account to connect Olostep to Cursor — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Olostep with Cursor

Ask AI about this MCP

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Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Direct code injection with Olostep

Call `scrape_url` to pull live data from any site and have your agent write code based on that exact context. You stop guessing what the site structure looks like because the AI sees it in real-time. It handles the rendering of dynamic content so your agent gets a clean string or markdown block. This makes building scrapers or data parsers significantly faster.

Automate data collection in Cursor

Set up recurring scraping tasks using `create_agent` and manage them with `list_agents`. You can build a pipeline where the AI triggers updates whenever you modify your scraping logic. Using `get_agent` lets you inspect your current configuration to ensure it matches your requirements. It keeps your scraping environment consistent as you iterate on your features.

Track API performance during development

Keep an eye on your budget by running `get_usage` before you launch a major scraping run. It tells you exactly where you stand with your API credits. Running `check_olostep_status` ensures your connection to the server is active before you start a long-running batch process. It is a quick way to confirm your environment is ready to go.

Setup guide

Set up Olostep MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Olostep MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Olostep transactions." If the MCP tools are loaded correctly, Cursor will call the Olostep tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "olostep-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Olostep. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Olostep MCP in Cursor

Create an `.cursor/mcp.json` file in your project root. Add the server command in that file, and Cursor will detect the tools as soon as you enable Agent mode.

Yes. Once the server is defined in your MCP config, your agent can call any of the ten tools to scrape pages or manage your batch jobs during a coding session.

The server only processes the public web data you request via URLs. Your local files and environment variables are never sent to the scraper, keeping your codebase secure.

Yes, you can use `create_batch` to send a list of URLs and then poll for results. It is ideal for when you need to gather large datasets for your project.

The MCP server output appears in your Cursor chat logs. You can review the responses from any tool call, including `get_batch_results`, directly in the sidebar.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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