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Connect Apify (Alternative) to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get structured, actionable data directly from the web.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 7 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Apify.

  1. 01

    List actor runs

    List recent actor executions

  2. 02

    List actor tasks

    List configured actor tasks

  3. 03

    Get dataset results

    Get items from a dataset

  4. 04

    Get run details

    Get details for a specific run

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Apify.

  1. 05

    List actors

    List Apify actors

  2. 06

    List datasets

    List Apify datasets

  3. 07

    Run actor

    Trigger an actor run

Real work

What teams actually run

01

Monitoring a Campaign

You ask the agent to list recent actor executions to check if your daily scraping job finished successfully.

02

Deep Data Analysis

You request the results from a specific dataset, allowing the AI to summarize trends like top-performing posts.

03

Debugging Scraping Jobs

You check the detailed metadata and logs for a run to figure out why the data collection failed.

04

Starting a New Scrape

You ask the agent to run a specific scraper, providing the necessary input parameters in a single prompt.

Automate a task

Put Apify to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Apify works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Apify to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

899ms average. Fast in production.

Apify is checked daily against the live service.

Daily averagePeak 1041ms
Oct 3Today
Fastest day
713ms
Slowest day
1041ms
14-day trend
Slowing+10%

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.

Connector linkhttps://edge.vinkius.com/vk_preview_pvv6MX9ZP8hnkCba86SJURXFBwAhkV4b6QXmWdj1/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Apify capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "apify-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_pvv6MX9ZP8hnkCba86SJURXFBwAhkV4b6QXmWdj1/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

Guided setup for Claude? Set up Apify in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Apify owners hand off.

If your job involves collecting large amounts of data from the web, this MCP is for you. It lets you automate the data gathering process and analyze the results without needing to write complex API calls or manage multiple capabilities.

  • 01

    Data Scientists

    You use this to quickly retrieve scraped data from datasets and analyze trends using simple AI commands.

  • 02

    Automation Engineers

    You use this to trigger actor runs and monitor execution health directly from your workspace.

  • 03

    Product Managers

    You use this to get instant overviews of automated data collection tasks and their results.

FAQ

Questions Apify owners ask.

  • 01

    Is this MCP only for Apify?

    Yes, this MCP is specifically designed to connect your AI agent to the Apify platform. It gives you access to Apify's full range of web scraping and automation capabilities.

  • 02

    What kind of data can I get?

    You can get structured data records from any dataset you've collected. This includes items like profile URLs, post captions, and engagement counts, depending on the scraper you run.

  • 03

    How do I start a scraper?

    You simply ask your agent to run an actor. You provide the name of the scraper and any necessary input parameters, and the MCP handles the execution.

  • 04

    Can I check if a scraper worked?

    Absolutely. You can list recent actor runs and check the run details to confirm the status and history of your data collection jobs.

  • 05

    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.

  • 06

    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.

  • 07

    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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