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
In Agents (Recommended)
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:- Open your agent’s configuration
- Click Add tools → Connect an app with MCP
- Search for the integration and select it
- Authenticate with your account
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.- Go to your node library and search for the integration
- Click Create a node with AI
- Describe the specific action you want (e.g., “Run a web scraper Actor on a URL”)
- 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:Troubleshooting
Need Help?
- Agents documentation for setup and best practices
- Agent Node guide for workflow integration
- Need help? Reach out to us
- Contact support@gumloop.com for assistance
Use this integration directly in Claude or Cursor. Connect remotely via the Apify MCP server using credentials from your Connectors page.
