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Vinkius

Apify MCP, Ready to Go

Command web scraping and data extraction with the Apify MCP. Let your AI agents run actors and pull structured datasets via Claude or Cursor.

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Command web scraping and data extraction workflows through natural conversation.

Apify MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Apify Connector?

945ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 743ms
Average 945ms
Max 1863ms
Trend (improving) ↓ 11%
Daily latency
954ms 11/07/2026
1863ms 12/07/2026
928ms 13/07/2026
900ms 14/07/2026
908ms 15/07/2026
1043ms 16/07/2026
955ms 17/07/2026
1001ms 18/07/2026
954ms 19/07/2026
1241ms 20/07/2026
970ms 21/07/2026
966ms 22/07/2026
743ms 23/07/2026
819ms 24/07/2026
11/07/2026 24/07/2026

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AI Agent

What AI agents can do with Apify MCP: 10 Tools for Web Scraping

Manage actors, monitor limits, and extract datasets with these 10 web scraping tools.

Abort run

Stop an active Apify actor run. Use this to end runaway scrapes while preserving already collected data.

Get account limits

Check your Apify account subscription limits. Monitor compute unit usage to avoid overage charges.

Get dataset items

Export structured JSON data from an Apify dataset. Use limit and offset for paginated bulk downloads.

Get key value store

Retrieve an item from an Apify actor key-value store. This is useful for getting screenshots or config files.

Get run

Check the status and metadata of a specific Apify actor run. Poll this to track long-running scrapes.

List actors

List all accessible actors in your Apify account. See both owned actors and saved public templates.

List webhooks

List all configured webhooks in your account. See target URLs and associated actor IDs for event-driven tasks.

Push to queue

Dynamically push new URLs to an active Apify request queue. This lets you add discovered pages mid-run.

Run actor sync

Run an Apify actor and block until completion. This is best for short-lived tasks under five minutes.

Run actor

Start an Apify actor asynchronously with custom JSON input. Use this for large scrapes to get a run ID back.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Stop Manual Data Entry with the Apify MCP for Web Scraping

This is for data engineers who need to automate extraction, market researchers gathering pricing, and developers who want to feed fresh web data into their own applications.

Data Engineer

Triggers scheduled extractions and maps Apify objects during QA checks without writing extra glue code.

Market Researcher

Commands the agent to scrape competitor prices and turn them into markdown tables for quick analysis.

AI Developer

Feeds fresh, structured site data into their own agents using headless browser scrapers.

Frequently Asked Questions

Can I use the Apify MCP to scrape social media sites? +

Yes, you can use your agent to run specific actors designed for social platforms. The Connector allows your agent to trigger these runs and pull the resulting data back into your chat.

Does the Apify MCP support bypassing bot detection? +

Yes, because it connects to your Apify workspace, it uses Apify's proxy networks and browser management to handle bot detection for you.

How do I see how many compute units I have left with Apify MCP? +

You can simply ask your agent to check your account limits. It will pull your current subscription data and tell you how much of your monthly quota remains.

Can my agent find new URLs while a scrape is running? +

Yes, the Connector supports pushing new URLs to an active queue. This allows your agent to manage dynamic crawls where new pages are discovered as the scraper moves.

Is it possible to get screenshots of a website using the Apify MCP? +

Yes, you can ask your agent to retrieve items from your key-value store. This includes visual snapshots and configuration files from your completed runs.

How can the AI agent run a scrape on a list of product URLs? +

First, find your specific scraping Actor ID via list_actors. Then, prompt your agent to execute run_actor, providing the target URLs formatted as a structured JSON input payload. It returns a 'Run ID'. You can poll this run via get_run, and once it succeeds, the agent calls get_dataset_items to pull all acquired data straight to your window.

Can the agent interact with run configurations mid-way during crawling? +

Yes. If an Apify crawler is currently executing and utilizes a Request Queue, you can instruct your agent to call push_to_queue. Doing so dynamically ships new URLs to the active queue instance, extending the current web crawl without needing to stop or restart the Actor.

Can my AI automatically detect scraping timeouts and debug the failure? +

Absolutely. Because your agent can track real execution flows with get_run, it's aware if it transitions to TIMED-OUT or FAILED states. Subsequently, you can ask the agent to examine the KV Store log outputs ensuring the underlying issue (e.g. captcha block, blocking proxy) is identified immediately.

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