Context Unbound with Claude AI: Implementing the Model Protocol to Break Down Data Silos

Tired of building one-off integrations every time you connect Claude to a new data source? The N×M problem is real: every new AI model and every new enterprise system multiplies the custom connectors, security reviews, and maintenance headaches. Anthropic's Model Context Protocol (MCP) was designed to end that cycle. Context Unbound with Claude AI is a practical, developer-focused guide to implementing MCP so your AI applications can securely reach databases, knowledge bases, Slack, Google Drive, Postgres, and more-without reinventing the wheel each time. You'll learn: - The core architecture of hosts, clients, servers, and JSON-RPC transport- How to build production-ready MCP servers in both TypeScript and Python- The critical distinction between tools and resources-and when to use each- Secure authentication with OAuth 2.1 and progressive disclosure patterns that keep sensitive data out of the LLM context window- How to deploy community connectors and deliver interactive UI dashboards directly inside Claude- Debugging strategies, timeout handling, and best practices for writing natural-language tool descriptions that actually work Whether you're an AI engineer, enterprise architect, or technical lead looking to break down data silos, this book gives you the concrete patterns and code-level guidance to move from fragmented integrations to a clean, extensible MCP ecosystem.