Use Apify with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Run web scraping actors, collect structured data, and manage storage datasets for large-scale data extraction projects.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 7 capabilities
The complete Apify capability set.
These are the exact actions your AI can choose when you ask it to work with Apify.
01-04
4 capabilities in this set.
Part of 7 available through Apify.
- 01
Get dataset results
Get items from a dataset
- 02
Get run details
Get details for a specific run
- 03
List actors
List Apify actors
- 04
List actor runs
List recent actor executions
05-07
3 capabilities in this set.
Part of 7 available through Apify.
- 05
List actor tasks
List configured actor tasks
- 06
List datasets
List Apify datasets
- 07
Run actor
Trigger an actor run
Observed, not estimated
844ms average. Fast in production.
Apify is checked daily against the live service.
- Fastest day
- 701ms
- Slowest day
- 1126ms
- 14-day trend
- Slowing+9%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Apify, so you can see the experience inside your AI.
It does not authenticate your account with Apify. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Apify Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_XpiRRgIukBoSRPKSbj93XBldWyxkE1Ba9k2he2x5/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Apify capabilities are ready to use.
{
"mcpServers": {
"apify-extended-mcp": {
"url": "https://edge.vinkius.com/vk_preview_XpiRRgIukBoSRPKSbj93XBldWyxkE1Ba9k2he2x5/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Apify owners ask.
- 01
Can I provide input parameters when running an actor?
Yes! Use the run_actor capability and provide the optional input JSON object to configure specific scraper settings for that run.
- 02
How do I see the items collected in a dataset?
Run the get_dataset_results query with your Dataset ID. The agent will retrieve the data records, which you can then ask the AI to summarize or analyze.
- 03
Is it possible to check the status of a specific actor run?
Absolutely. Use the get_run_details capability and provide the Run ID. Your agent will retrieve the status (RUNNING, SUCCEEDED, FAILED) and metadata for that specific execution.
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