How to Use the Apify MCP in Cursor

Q: How do I trigger an Apify run from Cursor?

You ask the Cursor agent to run a scraper. It calls the runactor tool, starts the job, and lets you know when the data is ready to use in your code.

Q: Can Cursor automatically write TypeScript types from Apify datasets?

Yes, the agent uses getdatasetresults to read the exact JSON structure. It then writes matching TypeScript interfaces directly into your open file.

Q: How do I install this Apify integration in Cursor?

You add the server to your .cursor/mcp.json file. Paste your Vinkius MCP endpoint token, and the agent instantly gets access to all seven tools.

Q: Can I see past scraper runs in the editor?

Yes, your agent uses listactorruns to show you a list of recent executions. You can pick any run to inspect its logs or download its dataset.

Run web scrapers and feed clean structured data directly into your Cursor codebase.

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Connect Apify MCP to Cursor

Create your Vinkius account to connect Apify to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Apify with Cursor

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Generate code using live Apify data in Cursor

The `get_dataset_results` tool extracts structured web data and feeds it directly into your Cursor active editor. Your agent reads the scraped payload to write precise parsers, type definitions, or UI components based on real API shapes instead of mock files. This MCP integration means you don't have to copy-paste JSON structures from a browser. The agent pulls the exact schema from your dataset and writes working code on the spot.

Execute scrapers directly from this MCP Server

The `run_actor` tool starts any scraper in your library directly from Cursor's agent panel. When you need fresh web data to test a feature, you ask the editor to trigger the run. It monitors the execution using `get_run_details` and updates your workspace when the run is complete. You write code while the scraper runs in the background.

Inspect scraper configurations inside Cursor

The `list_actor_tasks` tool reads your saved scraper configurations to let you select the right target. Your agent uses this MCP tool to analyze your current code, find the matching task, and run it without you opening a browser. It also calls `list_actors` to map out what scrapers you have configured. You can quickly see if you already have a tool for a specific site or if you need to build one.

Setup guide

Set up Apify 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 Apify 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 Apify transactions." If the MCP tools are loaded correctly, Cursor will call the Apify tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "apify-extended-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 Apify. 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 Apify MCP in Cursor

You ask the Cursor agent to run a scraper. It calls the `run_actor` tool, starts the job, and lets you know when the data is ready to use in your code.

Yes, the agent uses `get_dataset_results` to read the exact JSON structure. It then writes matching TypeScript interfaces directly into your open file.

You add the server to your `.cursor/mcp.json` file. Paste your Vinkius MCP endpoint token, and the agent instantly gets access to all seven tools.

Yes, your agent uses `list_actor_runs` to show you a list of recent executions. You can pick any run to inspect its logs or download its dataset.

Yes, your actor configurations and dataset results are routed through an encrypted V8 sandbox. No scraping data is cached on external servers or used for model training. Your credentials stay locked down locally.

Use it with your favorite AI tools

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

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