MCP server Actors monorepo

A curated collection of production-ready Model Context Protocol (MCP) servers published as Actors on Apify. These are wrappers around open-source stdio MCP servers or remote HTTP servers — credits go to the original developers.

• Monetize your MCP servers via pay-per-use pricing
• Reach a global developer and business audience
• Reliable hosting, scaling, and monitoring
• Built-in analytics
• Community exposure via Apify MCP server and the Apify Store
• Standby mode for instant responses
• Multi-transport (http-streamable and SSE) support
• OAuth for easy authentication

📦 Available servers

…and many more.

🙏 Credits

These are wrappers—original code by: Brave Software, Perplexity AI, Mendable AI, SlideSpeak, Translated, Githejie, Kiwi.com, KyrieTangSheng, Upstash, Financial Datasets, Microsoft, Wolfram, and others.

🚩 Claim this MCP server – If you are the original developer and would like to claim ownership or have any concerns, please write to [email protected].

🛠️ Quick start

Prerequisites

• For TypeScript servers: Node.js 18+ and npm
• For Python servers: Python 3.8+ and pip
• For all servers: Docker (optional, for containerized deployment)

Installation

Each server can be installed and run independently:

# TypeScript servers
cd 
npm install
npm start

# Python servers
cd 
pip install -r requirements.txt
python -m src.main

Using with MCP clients

Configure your MCP client (like Claude Desktop) to use these servers:

{
  "mcpServers": {
    "brave-search": {
      "command": "npx",
      "args": ["-y", "@apify/brave-search-mcp-server"]
    },
    "calculator": {
      "command": "python",
      "args": ["-m", "src.main"],
      "cwd": "./calculator-MCP-server"
    }
  }
}

🔧 Development

Templates

When creating new MCP servers, you can use our pre-built templates:

• Python MCP server template - For Python-based MCP servers
• TypeScript MCP server template - For TypeScript-based MCP servers

Project structure

mcp-servers/
├── /
│   ├── src/           # Source code
│   ├── Dockerfile     # Container configuration
│   ├── package.json   # Node.js dependencies (TypeScript servers)
│   ├── requirements.txt # Python dependencies (Python servers)
│   └── README.md      # Server-specific documentation
├── LICENSE            # MIT License
├── CONTRIBUTING.md    # Contribution guidelines
├── README.md          # This file

🤝 Contributing

This monorepo is maintained by Apify. We encourage you to build your own MCP servers using our templates—see the official MCP documentation and Apify MCP docs.

To report issues or request features, open an issue with details.

🌐 What is Apify MCP?

The Apify Model Context Protocol (MCP) Server at mcp.apify.com instantly connects AI applications and agents to thousands of ready-built tools. It allows your AI assistant to use any Apify Actor for web scraping, data extraction, and automation tasks in real time.

Key benefits:

• Instant access to 5,000+ Apify Actors and tools
• No setup required - connect with just a URL
• OAuth support for easy authentication
• Production-ready with enterprise-grade reliability

🎯 Try it now

For the easiest setup and most powerful features, connect your AI assistant to our hosted server:

https://mcp.apify.com

It supports OAuth, so you can connect from clients like Claude.ai or Visual Studio Code with just the URL.

📈 References

Learn how to build and monetize MCP servers on Apify:

• Blog post: Build and monetize MCP servers on Apify
• Webinar: Build and monetize MCP servers on Apify
• How to build and monetize an AI agent on Apify
• What is MCP and why does it matter?

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Made with ❤️ and 🍺 by the Apify team