![🔌 MCP Series [Node.js - Claude Desktop - AI Agents]](/images/assets/mcp-series-preview.png)
🔌 MCP Series [Node.js - Claude Desktop - AI Agents]
- Ivan Luna
- Node.js , MCP , Claude Desktop , AI Agents
- 30 Apr, 2025
MCP Series Is a comprehensive collection of Model Context Protocol (MCP) servers that empower AI assistants with advanced capabilities to interact with external services, platforms, content sources, and real-time data.
MCP Series Collection
🌐 MCP Browser Agent | Transform Claude into an autonomous browser agent that can navigate websites, interact with web elements, execute JavaScript, and make API calls. | TypeScript |
🔍 MCP Status Observer | Monitor and query the operational status of major digital platforms like GitHub, Cloudflare, Google Cloud Platform and many more. | TypeScript |
🏷️ MCP Domain Availability Checker | Check domain availability across 50+ popular TLD extensions with DNS and WHOIS verification through Claude Desktop. | Python |
🎵 MCP Claude Spotify | Control your Spotify playback, search for music, create playlists, and get personalized recommendations directly through Claude Desktop. | TypeScript |
📰 MCP Claude HackerNews | Browse the latest tech news, discussions, and insights from Hacker News through a conversational interface. | TypeScript |
📡 MCP RSS Aggregator | Transform Claude into a personalized news reader that fetches and processes content from your favorite RSS feeds. | TypeScript |
About MCP Series
MCP Series is a professional organization dedicated to developing and maintaining enterprise-grade Model Context Protocol (MCP) servers. Our mission is to extend the capabilities of Large Language Models (LLMs) through rigorously designed integrations, enabling seamless connections between AI systems and a diverse range of external services, applications, and real-time data sources. We currently maintain a growing ecosystem of six production-ready MCP servers with more integrations in active development.
What is the Model Context Protocol (MCP)?
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This protocol focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
// Typical MCP server configuration in claude_desktop_config.json
{
"mcpServers": {
"serviceName": {
"command": "node",
"args": ["PATH_TO_DIRECTORY/service-name/build/index.js"],
// Optional environment variables or other configuration
"env": {
"API_KEY": "your_api_key_here"
}
}
}
}