Apify

This is Apify’s official MCP Server that enables your AI assistants to access 8,000+ web scraping, data extraction, and automation tools.

It can scrape social media, extract contact information, search the web, and automate virtually any web-based task using pre-built Actors from the Apify Store.

More Features

• 🔧 Dynamic Tool Discovery: AI agents can search for and add new Actors as needed during conversations.
• 🌐 Multiple Deployment Options: Choose between hosted service at mcp.apify.com or local stdio server.
• 🔌 MCP Client Compatibility: Works with Claude Desktop, VS Code, Cursor, and other MCP clients.
• 📊 Complete Data Access: Retrieve datasets, key-value stores, and run logs from the Apify platform.
• 🔍 Documentation Integration: Search and fetch Apify documentation directly within conversations.

Use Cases

• Competitive Intelligence: Monitor social media posts, track pricing changes, and gather market research data automatically.
• Lead Generation: Extract contact details from business directories and Google Maps listings at scale.
• Content Aggregation: Collect news articles, blog posts, and social media content for analysis.
• Research Automation: Perform comprehensive web searches and extract structured data from multiple sources.
• Data Pipeline Integration: Feed real-time web data into your existing analytics and business intelligence systems.

Install the MCP Server

Prerequisites

• Apify API Token: You need an account on Apify and an API token.
• Node.js: Version 18 or higher (for local installation).
• MCP Client: An AI assistant like Claude Desktop, VS Code (with Genie extension), or Cursor.

Method 1: Using the Hosted Server (Recommended)

The hosted version is accessible at https://mcp.apify.com. It supports OAuth, making it compatible with clients like Claude.ai.

You can configure which tools are loaded by appending query parameters to the URL.

• Default setup (Actors, Docs, Web Browser):
  https://mcp.apify.com
• Specific Actor only:
  https://mcp.apify.com?tools=apify/instagram-scraper
• Disable Telemetry:
  https://mcp.apify.com?telemetry-enabled=false

Method 2: Local Installation (Stdio)

1. Set your API token and run the server.

export APIFY_TOKEN="your_token_here"
npx @apify/actors-mcp-server

2. Add the following to your claude_desktop_config.json file:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server"
      ],
      "env": {
        "APIFY_TOKEN": "your_apify_token_here"
      }
    }
  }
}

3. Customize the local server behavior using flags:

• --tools <list>: Specify tools or categories (e.g., --tools actors,docs).
• --telemetry-enabled=false: Disable data collection.

Available Tools and Functions

• search-actors: Searches the Apify Store for relevant Actors.
• fetch-actor-details: Retrieves metadata and input schema for a specific Actor.
• call-actor: Executes an Actor run and returns a preview of the results. (Default for static clients).
• add-actor: (Experimental) Adds an Actor as a tool dynamically during a session. (For dynamic clients).
• apify-slash-rag-web-browser: A pre-configured Actor tool specifically for web browsing and RAG tasks.
• get-actor-output: Retrieves the full output of a run. Essential when call-actor returns truncated data.
• get-actor-run: specific details about a single execution.
• get-actor-run-list: Lists runs for an Actor, filterable by status.
• get-actor-log: Fetches the console logs for a specific run (useful for debugging).
• get-dataset: Gets metadata about a specific dataset.
• get-dataset-items: Retrieves actual data items from a dataset (supports pagination).
• get-dataset-schema: Generates a JSON schema based on the items in a dataset.
• get-dataset-list: Lists all available datasets for the user.
• get-key-value-store: Gets metadata about a specific key-value store.
• get-key-value-store-keys: Lists keys within a store.
• get-key-value-store-record: Retrieves the value associated with a specific key.
• get-key-value-store-list: Lists all available key-value stores.
• search-apify-docs: Searches the official Apify documentation.
• fetch-apify-docs: Fetches the full content of a documentation page.