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apify-mcp-server

The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of …

Official
AI & ML
Install Command
npx -y @apify/actors-mcp-server
Claude Desktop Config
{
  "mcpServers": {
    "apify-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server"
      ]
    }
  }
}

apify-mcp-server is an officially maintained MCP server in the AI & ML category, developed by apify. It runs locally on your machine, keeping your data private and giving you full control over the connection. AI engineers can use it to chain models and pipelines into more powerful workflows.

About apify-mcp-server

Overview

The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.

Links

Topics

agents, ai, mcp, mcp-server, apify, server, actors, model context protocol

Who Should Use apify-mcp-server?

  • 1Chain AI models and pipelines through a unified MCP interface
  • 2Let Claude orchestrate other AI tools and models
  • 3Integrate embeddings, image generation, or speech APIs into your workflow
  • 4Build multi-model workflows without writing custom integration code

How to Install apify-mcp-server

Before you start

You will need Node.js (v18 or later) installed on your machine — download it from nodejs.org if you haven't already.

  1. 1Open a terminal (Terminal on Mac, Command Prompt or PowerShell on Windows).
  2. 2Paste the install command above and press Enter — Node.js will download and run the server automatically.
  3. 3Add the server to your Claude Desktop config file (see the JSON snippet above) and restart Claude.

The Claude Desktop config snippet above can be copied and pasted directly into your claude_desktop_config.json file — no editing required.

How apify-mcp-server Compares

It is an officially maintained server — unlike community alternatives, it is built and supported by the original project team, ensuring compatibility with upstream changes.
It runs entirely on your local machine, so no data leaves your environment — important for teams with privacy or compliance requirements.
It is distributed as an npm package, making version management and updates straightforward with a single `npm update` command.

Tags

agentsaiapifyserveractors