Skip to main content
Apify is a platform for web scraping, data extraction, and automation. The Apify MCP server lets you search the Apify Store, run Actors and saved tasks, monitor runs, and retrieve results using natural language.

What Can It Do?

  • Search and discover Actors in the Apify Store
  • Run Actors synchronously or asynchronously with validated input
  • Manage saved tasks for preconfigured Actor runs
  • Monitor run status and retrieve logs
  • Read dataset results from completed runs

Where to Use It

Add Apify as a tool to any agent. The agent can then discover and run Actors conversationally, choosing the right actions based on context. To add an MCP tool to your agent:
  1. Open your agent’s configuration
  2. Click Add toolsConnect an app with MCP
  3. Search for the integration and select it
  4. Authenticate with your account
You can control which tools your agent has access to. After adding an integration, click on it to enable or disable specific tools based on what your agent needs.

In Workflows (Via Agent Node)

For automated pipelines, use an Agent Node with Apify tools. This gives you the flexibility of an agent within a deterministic workflow.

As a Custom MCP Node

You can also create a standalone MCP node for a specific action. This generates a reusable node that performs one task, useful when you need the same operation repeatedly in workflows.
To create a custom MCP node:
  1. Go to your node library and search for the integration
  2. Click Create a node with AI
  3. Describe the specific action you want (e.g., “Run a web scraper Actor on a URL”)
  4. Test the node and save it for reuse
Custom MCP nodes are single-purpose by design. For tasks that require multiple steps or dynamic decision-making, use an agent instead.

Available Tools

Actor Discovery

Running Actors

Saved Tasks

Results

The Gumloop-managed Apify key supports searching public Actors, reading public metadata, and running public limited-permission Actors synchronously. For full-permission Actors, async runs, saved tasks, run status, and dataset reads, connect your own Apify API key.

Example Prompts

Use these with your agent or in the Agent Node: Search for an Actor:
Run a scraper:
Check run status:
Get results:
Run a saved task:

Troubleshooting

Agents can chain tools together automatically. For example, asking “Scrape product data from this URL” will search for a suitable Actor, validate the input, run it, and return the results. Review the agent’s reasoning if results seem off.

Need Help?


Use this integration directly in Claude or Cursor. Connect remotely via the Apify MCP server using credentials from your Connectors page.