MCP Server Actors Monorepo
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A curated collection of ready‑to‑run Model Context Protocol servers packaged as Apify Actors, offering pay‑per‑use pricing, global hosting, scaling, analytics, OAuth authentication, and multi‑transport support.
MCP Server Actors Monorepo Overview
What is MCP Server Actors Monorepo about?
Provides a set of production‑ready MCP servers wrapped as Apify Actors. Each server proxies an open‑source stdio MCP implementation or a remote HTTP service, allowing developers to monetize their tools through Apify’s pay‑per‑use model while benefitting from reliable hosting, monitoring, and analytics.
How to use MCP Server Actors Monorepo?
- Choose a server from the catalog (e.g., Brave Search, Calculator, DeepL, etc.).
- Install the corresponding Apify Actor via
npx:{ "mcpServers": { "brave-search": { "command": "npx", "args": ["-y", "@apify/brave-search-mcp-server"] } } } - Configure any required environment variables (API keys, OAuth credentials) in the Actor settings on Apify.
- Reference the server in your MCP client configuration:
{ "mcpServers": { "brave-search": { "command": "npx", "args": ["-y", "@apify/brave-search-mcp-server"] } } } - Deploy the Actor on Apify; the platform handles scaling, logging, and billing.
Key features of MCP Server Actors Monorepo
- Monetization: Pay‑per‑use pricing managed by Apify.
- Global hosting with automatic scaling and fail‑over.
- Built‑in analytics for usage and revenue tracking.
- OAuth authentication for secure client access.
- Multi‑transport support (HTTP‑streamable, Server‑Sent Events).
- Standby mode for instant response without cold start latency.
- Template library for quickly creating new MCP servers in TypeScript or Python.
- Community exposure via the Apify Store and MCP server marketplace.
Use cases of MCP Server Actors Monorepo
- Search augmentation – integrate Brave Search or Perplexity Sonar into AI assistants.
- Content extraction – use Firecrawl or BrowserBase for web crawling and scraping.
- Translation services – provide DeepL or Lara Translate capabilities.
- Computation – expose calculator functionality for mathematical queries.
- Travel booking – offer flight search via Kiwi server.
- Domain‑specific knowledge – deliver code documentation with Context7 or national park information.
- Custom AI agents – plug any of these servers into Claude, VS Code extensions, or other MCP‑compatible clients.
FAQ from the MCP Server Actors Monorepo
Q: Do I need to host the underlying MCP server myself? A: No. The Apify Actors host the servers for you, handling scaling, monitoring, and billing.
Q: How are API keys managed? A: Secrets are stored securely in Apify Actor settings and injected as environment variables at runtime.
Q: Can I claim ownership of a server if I am the original developer?
A: Yes. Contact ai@apify.com to claim or discuss concerns.
Q: What runtimes are supported? A: Both Node.js (TypeScript) and Python servers are supported; Docker can be used for containerized deployment.
Q: Is there a free tier? A: Apify provides a free tier for testing, but production usage is billed per invocation according to the Actor’s pricing.
MCP Server Actors Monorepo's README
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
| Actor | Description | Actor badge | Original author |
|---|---|---|---|
| Brave Search MCP Server | Web search capabilities powered by Brave Search | MCP Community | |
| BrowserBase MCP Server | Cloud web automation capabilities | BrowserBase | |
| Docfork MCP Server | FreshFresh docs for your AI code editor | Docfork.AI | |
| Perplexity Sonar MCP Server | AI-powered search and information retrieval | Perplexity AI | |
| Firecrawl MCP Server | Web crawling and content extraction | Mendable AI | |
| Slide Speak MCP Server | Presentation and speech synthesis | ||
| Lara Translate MCP Server | Multi-language translation services | Translated | |
| Calculator MCP Server | Mathematical computations and calculations | Githejie | |
| Kiwi MCP Server | Flight search and booking using Kiwi.com | Kiwi.com | |
| National Parks MCP Server | Geographic and park information | KyrieTangSheng | |
| Context7 MCP Server | Up-to-date code docs for any programming library | Upstash | |
| DeepL MCP Server | Translation capabilities using the DeepL API | DeepLcom | |
| Wolfram MCP Server | Wolfram|Alpha, Wolfram Language kernel, and Knowledgebase access | Wolfram |
...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 ai@apify.com.
🛠️ 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 <server-name>
npm install
npm start
# Python servers
cd <server-name>
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/
├── <server-name>/
│ ├── 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:
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?
Made with ❤️ and 🍺 by the Apify team
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