EP154: What is MCP?

The newsletter introduces Model Context Protocol (MCP), a new open standard by Anthropic that enables AI models (like Claude) to seamlessly integrate with external systems (databases, APIs, file systems) without custom code. It follows a client-server architecture with key components (Host, MCP Client, MCP Server) and five core primitives (Roots, Sampling, Prompts, Resources, Tools). Additionally, the issue covers Instagram-like system design and frontend performance optimization techniques.
2. Core Technical Concepts/Technologies Discussed
- Model Context Protocol (MCP) – Open standard for AI model integrations
- Client-Server Architecture (Host, MCP Client, MCP Server)
- Instagram System Design (API gateways, databases, caching, async processing)
- Frontend Performance Optimization (compression, selective rendering, pre-loading, tree shaking)
3. Main Points
A. Model Context Protocol (MCP)
- Enables AI models (e.g., Claude) to connect to external systems (PostgreSQL, APIs, Google Drive) without custom code.
- Three Key Components:
- Host (AI application environment, runs MCP Client)
- **MCP Client
Why is everyone talking about it? Let’s take a closer look.
This article was originally published on ByteByteGo
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