How to Use the Apify MCP in Windsurf

Q: How do I set up Apify in Windsurf?

Open your mcpconfig.json file or use the Cascade settings panel to register the server. Once you add it, Cascade detects the tools and you can start scraping right away.

Q: Can Windsurf handle large Apify datasets?

Yes, you can pull bulk data using the limit parameter in getdatasetitems. Just keep an eye on your account limits using getaccountlimits to avoid unexpected costs.

Q: Does Windsurf support Apify webhooks?

You can use listwebhooks to see what is already set up. This helps you monitor event-driven flows directly from your terminal or chat.

Use Apify inside Windsurf to scrape live web data and feed it directly into your Cascade agent's planning process.

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Connect Apify MCP to Windsurf

Create your Vinkius account to connect Apify to Windsurf 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 Windsurf

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Automate web scraping in Windsurf

Trigger `run_actor` or `run_actor_sync` from your chat window to start data collection without leaving the IDE. Cascade handles the heavy lifting, taking the output and iterating on your codebase immediately. This MCP server gives your agent direct access to `list_actors` so it knows exactly what scrapers are available. It bridges the gap between raw web data and your local project files.

Manage Apify datasets in Windsurf

Use `get_dataset_items` to pull structured JSON directly into your editor. You can define limits and offsets to grab exactly the data you need for your current task. Your agent can also poll `get_run` to track progress on long-running jobs. It keeps you updated on status changes without you needing to check the dashboard manually.

Handle Apify key-value stores in Windsurf

Fetch configuration files or intermediate results using `get_key_value_store`. It brings external state into your Windsurf workspace for easier debugging and data analysis. If a scrape goes off the rails, use `abort_run` to kill it instantly. This keeps your compute usage in check while you work.

Setup guide

Set up Apify MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Apify MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Apify payment history." If connected, Cascade will call the Apify tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

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

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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 Windsurf

Open your mcp_config.json file or use the Cascade settings panel to register the server. Once you add it, Cascade detects the tools and you can start scraping right away.

Yes, you can pull bulk data using the limit parameter in `get_dataset_items`. Just keep an eye on your account limits using `get_account_limits` to avoid unexpected costs.

Your data stays between your agent and the endpoint. This MCP Server only touches raw scraped JSON and run metadata, never your private credentials or local project source code.

You can use `list_webhooks` to see what is already set up. This helps you monitor event-driven flows directly from your terminal or chat.

If you notice a task running too long, just tell your agent to trigger `abort_run`. It stops the job immediately and preserves whatever data was collected up to that point.

Use it with your favorite AI tools

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

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