Vinkius
Apify

Apify MCP for AI. Run scrapers, analyze data, manage web extraction.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Apify MCP on Cursor AI Code EditorApify MCP on Claude Desktop AppApify MCP on OpenAI Agents SDKApify MCP on Visual Studio CodeApify MCP on GitHub Copilot AI AgentApify MCP on Google Gemini AIApify MCP on Lovable AI DevelopmentApify MCP on Mistral AI AgentsApify MCP on Amazon AWS Bedrock

How this MCP server connects to your AI agent

Apify connects your AI agent directly to large-scale web scraping and automation tools. It lets you run complex scrapers, manage vast datasets, and track execution histories—all through natural conversation.

Use this MCP to extract structured data from websites without writing a single line of code.

What AI agents can do with Apify Automation

Get dataset results

Retrieves the actual structured records (items) stored within a specific dataset.

Get run details

Fetches comprehensive information and logs about one particular actor execution run.

List actors

Lists all the available web scraping actors configured in your Apify account.

+ 4 more capabilities included
Execute web scrapers

You can trigger specific actors to scrape websites or run automated processes on demand.

Analyze structured results

The agent fetches raw data records from your datasets, allowing you to process and analyze the collected information instantly.

Monitor automation status

You get real-time visibility into past actor executions, checking run history and failure details for reliability checks.

Manage scraping assets

The MCP lets you list all available actors, datasets, and configured tasks to manage your entire data inventory.

Included with Plan

Waiting for input…

AI Agent

What AI agents can do with Apify: 7 Tools for Web Automation

These tools give your agent specific commands to list assets, run scrapers, check status, and retrieve structured data from web sources.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Apify on Vinkius

Get Dataset Results

Retrieves the actual structured records (items) stored within a specific dataset.

Get Run Details

Fetches comprehensive information and logs about one particular actor execution run.

List Actors

Lists all the available web scraping actors configured in your Apify account.

List Datasets

Retrieves a list of every dataset you have collected data into.

List Actor Runs

Lists the history and status of your most recent actor executions to check...

List Actor Tasks

Shows you all the saved, configured tasks associated with your actors for reuse.

Run Actor

Starts a new instance of an actor run using specified inputs and configurations.

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Apify integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Apify, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,100+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week
Apify MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apify. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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DLP Enforced

Policy on every call

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Token Compression

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Your data is protected. See how we built it.

Built on the Model Context Protocol (MCP) for Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 7 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Manually gathering market intelligence takes way too long., Solved with Vinkius AI Gateway

Today, pulling comprehensive web data means bouncing between multiple scraping tools. You have to manually check if the script ran, then go into the dataset view just to copy a few key figures. It's endless clicking through status dashboards and API documentation.

With this MCP, you tell your agent what information you need—like product prices or contact lists. The system triggers the necessary actors, waits for the data collection to finish, and then presents the clean, structured records directly in the conversation. You get actionable results without touching a dashboard.

Apify MCP Gives You Full Control Over Your Web Data Pipeline

You stop manually triggering runs and checking status updates. Instead, you use the `run_actor` tool to start the process and then rely on conversational prompts to monitor progress or retrieve the final output via `get_dataset_results`.

It's not just about getting data; it's about managing the whole flow. You get a single point of control for execution, monitoring, and retrieval.

What your AI can actually do with this

Need to pull information off the web in bulk? This connector gives your agent complete control over large-scale data extraction projects. You can list available scrapers, run them with specific inputs, and watch them work right from your chat window. Once the scraping finishes, you don't just get a link; you retrieve the actual structured records—the items—from massive datasets so your AI client can analyze them immediately.

Plus, you can check the status of recent runs and view detailed logs to debug anything that breaks in your automation flow. Connecting this MCP through Vinkius means you manage all your scraping needs from one single connection point with any compatible agent.

Built · Hosted · Managed by Vinkius Apify-MCP - Web Scraping & Data Extraction
Server ID 019dd0b9-d298-70b6-9f35-5e49791139d9
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

How does Apify MCP help me manage my scrapers? +

You use list_actors to see all your available scraping scripts. You can also check saved configurations using list_actor_tasks, so you never lose track of a specific scraper setup.

What is the difference between `run_actor` and `get_dataset_results`? +

run_actor executes the scraping process, generating raw data. You then use get_dataset_results to fetch the actual structured items that were successfully collected into a dataset.

Can I see if my scraper ran successfully last week? +

Yes. Use list_actor_runs. This tool shows you the history of executions, allowing you to check status and identify specific run IDs for deeper investigation using get_run_details.

Does Apify MCP handle large amounts of data? +

Yes. The entire system is built for scale. You use the MCP to manage datasets, which are designed specifically to hold massive collections of structured web data.

If I need to debug a broken scraper, what should I use in Apify MCP? +

You start by using get_run_details on the failing run ID. This retrieves detailed metadata and logs that tell you exactly why the automation failed.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Apify. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
+ other MCP clients

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