Recently I’ve been looking into MCP and how it integrates with development framework. I tried with some hands-on tinkering, and learned quite a bit. Here’s my learning and some reflections.
Code here: https://github.com/hxy9243/agents/tree/main/librarian
What’s MCP
Bird’s Eye View
MCP (Model Context Protocol) is a standard way for AI agents to securely connect to your services. It provides a uniform interface for tools, resources, and prompts, enabling seamless integration between AI systems and external services.
Clients like VSCode, Gemini Code, or Claude Code can now integrate with different tools and services and become incredibly powerful, from reading PDFs, search for websites, read your Google Drive files, or book plane tickets for you. You could implement the MCP service once and easily install in all kinds of the AI assistants of your choice.
With this standardization, you can implement your MCP server and they can directly integrate with your user’s agents, assistants, or more complicated workflows. They can call and leverage your tools with a standardized interface.
Think of an AppStore moment for app discovery and AI integration.