What is MCP (Model Context Protocol) in Practice?
TL;DR
Practical patterns for AI tool integration using MCP. Standardizes agent connections to external systems.
MCP (Model Context Protocol) in Practice: Definition & Explanation
MCP in Practice covers practical patterns for applying Anthropic's Model Context Protocol in real-world AI agent development. MCP is an open standard for connecting AI models with external tools and data sources, enabling unified integration with diverse systems including GitHub, Slack, Google Drive, and databases. The architecture consists of MCP servers (providing data and tools) and MCP clients (the AI side), with support from Claude Desktop, Cursor, Windsurf, VS Code, and more. Organizations can publish their own systems as MCP servers to enable secure access from AI agents.