🤖 AgentX makes it effortless to connect to production-ready MCP servers, empowering builders to create powerful AI agents with minimal setup. Get your AI agents talking to the world's services in minutes, not months.
Model Context Protocol (MCP) is an open standard that enables AI models to securely access external tools, data sources, and services. Think of it as a universal API that lets your AI agents interact with databases, web services, file systems, and more.
- 🚀 Production-Ready - Battle-tested servers used by thousands of developers
- 🔧 Plug & Play - Install with one command, zero configuration required
- 🌍 Universal Compatibility - Works with Claude, GPT, and any MCP-compatible AI
- 🛡️ Enterprise Grade - Built with security, reliability, and performance in mind
- 📦 Growing Ecosystem - New integrations added regularly based on community needs
Extract video information, subtitles, and comments from YouTube
uvx youtube-dlp-server
Features:
- 📹 Video metadata extraction (title, views, likes, description)
- 📝 Subtitle and caption extraction in multiple languages
- 💬 Top comments retrieval with creator badges
- 🌐 Proxy support
Get real-time stock, marco eco, market sentiment, financial news, etc from Yahoo Finance
Connect and let your Agent, search, create, write, modify your notion content
We're actively developing MCP servers for:
- 📊 Database Connectors - PostgreSQL, MySQL, MongoDB
- 🌐 Web Scraping - Beautiful Soup, Playwright, Selenium
- 📧 Communication - Email, Slack, Discord, Teams
- 🗄️ Cloud Storage - AWS S3, Google Drive, Dropbox
- 🔍 Search & Analytics - Elasticsearch, Google Analytics
- 🛒 E-commerce - Shopify, WooCommerce, Stripe
Want a specific integration? Request it here!
# Install any server instantly
uvx run youtube-dlp-server
uvx run database-connector
uvx run web-scraper
Add to your claude_desktop_config.json
:
{
"mcpServers": {
"youtube-dlp": {
"command": "uvx",
"args": ["youtube-dlp-server"]
}
}
}
Config Locations:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%/Claude/claude_desktop_config.json
git clone https://github.com/AgentX-ai/AgentX-mcp-servers.git
cd AgentX-mcp-servers/youtube_dlp_server
pip install -e .
python -m youtube_dlp_server
Use the MCP Inspector to test any server:
# Install MCP Inspector
npm install -g @modelcontextprotocol/inspector
# Test a server
npx @modelcontextprotocol/inspector uvx run youtube-dlp-server
Each server in this collection follows our proven template:
your_server/
├── src/your_server/
│ ├── __init__.py
│ ├── __main__.py # Entry point
│ ├── server.py # MCP server logic
│ └── helper.py # Business logic
├── pyproject.toml # Dependencies & metadata
├── README.md # Server-specific docs
└── LICENSE # MIT License
- ✅ Async/Await - Non-blocking operations
- ✅ Type Safety - Full type hints with Pydantic
- ✅ Error Handling - Graceful failure modes
- ✅ Logging - Structured logging for debugging
- ✅ Testing - Built-in test framework
- ✅ Documentation - Auto-generated from code
"AgentX MCP servers saved us months of development. We went from idea to production AI agent in just 2 days!" > - Sarah Chen, CTO at DataFlow AI
"The YouTube DLP server helped us analyze 50,000+ videos for our research project. Flawless integration with Claude." > - Dr. Michael Rodriguez, MIT AI Lab
We welcome contributions! Here's how to help:
- ⭐ Star this repo - Show your support
- 🐛 Report bugs - Open an issue
- 💡 Request features - Tell us what integrations you need
- 🔧 Submit PRs - Add new servers or improve existing ones
- 📖 Improve docs - Help others get started faster
# 1. Fork & clone
git clone https://github.com/yourusername/AgentX-mcp-servers.git
# 2. Create feature branch
git checkout -b feature/awesome-server
# 3. Make changes & test
cd your_new_server
npm run test
# 4. Submit PR
git push origin feature/awesome-server
- 💬 Discord: Join our community
- 📧 Email: contact@agentx.so
- 🐦 Twitter: @AgentX_AI
- 📖 Docs: docs.agentx.so
- 🎥 YouTube: Tutorials & Demos
All servers are released under the MIT License. Free for commercial and personal use.
🚀 Ready to supercharge your AI agents?