https://huggingface.co/blog/lynn-mikami/awesome-mcp-servers

In the rapidly evolving landscape of AI assistance, Model Context Protocol (MCP) servers have emerged as game-changers. These powerful tools bridge the gap between AI models like Claude and external resources—from file systems to web services. By leveraging MCP servers, you can dramatically enhance your AI's capabilities, automating tasks and accessing data that would otherwise be beyond reach.

MCP servers function as secure intermediaries that allow AI models to interact with local and remote resources. Whether you need to manage GitHub repositories, search the web, analyze databases, or organize files, these servers make it possible with minimal setup. The result? A more productive workflow where your AI assistant becomes truly helpful in your daily tasks.

Whether you're a developer looking to streamline coding workflows, a content creator managing multiple platforms, or simply someone who wants to be more productive, there's likely an MCP server (or several) that can help you achieve your goals. Start with the ones most relevant to your needs, and remember to explore himcp.ai for even more options as the ecosystem continues to grow.

File and Data Management

1. File System MCP Server

Description: This essential server grants AI assistants access to your local file system, enabling operations like reading, writing, creating, and deleting files and directories. With configurable permissions, you can control exactly what the AI can access.

Link: https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem

2. Google Drive MCP Server

Description: Access your Google Drive contents directly through AI interactions. Search for files, read documents, upload new content, and organize your cloud storage without ever leaving your conversation.

Link: https://github.com/modelcontextprotocol/servers/tree/main/src/google-drive

3. Memory MCP Server

Description: A specialized server that provides persistent memory capabilities for AI interactions, allowing the model to store and retrieve information across sessions without forgetting important context.

Link: https://github.com/anthropics/anthropic-cookbook/tree/main/mcp/memory

Developer Tools

4. GitHub MCP Server

Description: This powerful server enables AI to interact with GitHub repositories, view code, create issues, manage pull requests, and more. Perfect for developers looking to streamline their workflow with AI assistance.

Link: https://github.com/modelcontextprotocol/servers/tree/main/src/github