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AgentX Mcp Servers

БесплатноНе проверен

List of open sourced MCP servers. MIT license. Managed by AgentX with love.

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Описание

List of open sourced MCP servers. MIT license. Managed by AgentX with love.

README

Documentation Website Discord YouTube Demo License: MIT

🤖 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.

🗂️ Available MCP Servers

YouTube DLP Server

Extract video information, subtitles, and comments from YouTube

📈 Yahoo Finance Server

Get real-time stock, marco eco, market sentiment, financial news, etc from Yahoo Finance

📓 Notion MCP Server

Connect and let your Agent, search, create, write, modify your notion content

Apollo MCP Server

Let your AI agent handle lead generation and enrichment

Mailchimp MCP Server

Read only Mailchimp MCP Server. Allows your AI Agent to read your campagin data.

🔄 More Servers Coming Soon...


🎯 What is MCP?

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.

⚡ Why AgentX MCP Servers?

  • 🚀 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

We're actively developing MCP servers.

Want a specific integration? Request it here!

🧪 Testing Your Setup

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

🏗️ For Developers

Creating Your Own MCP Server

Each python 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

🤝 Contributing

We welcome contributions! Here's how to help:

  1. ⭐ Star this repo - Show your support
  2. 🐛 Report bugs - Open an issue
  3. 💡 Request features - Tell us what integrations you need
  4. 🔧 Submit PRs - Add new servers or improve existing ones
  5. 📖 Improve docs - Help others get started faster

Development Workflow

# 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

📞 Support & Community

📄 License

All servers are released under the MIT License. Free for commercial and personal use.


🚀 Ready to supercharge your AI agents?

Get StartedJoin DiscordWatch Demo

from github.com/AgentX-ai/AgentX-mcp-servers

Установка AgentX Mcp Servers

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/AgentX-ai/AgentX-mcp-servers

FAQ

AgentX Mcp Servers MCP бесплатный?

Да, AgentX Mcp Servers MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для AgentX Mcp Servers?

Нет, AgentX Mcp Servers работает без API-ключей и переменных окружения.

AgentX Mcp Servers — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить AgentX Mcp Servers в Claude Desktop, Claude Code или Cursor?

Открой AgentX Mcp Servers на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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