MCP for Developers: Connecting AI Assistants to Tools, Data, APIs, and Workflows

Connecting AI Assistants to Tools, Data, APIs, and Workflows MCP for Developers is a practical, technically rigorous guide to the Model Context Protocol: the emerging standard for connecting AI assistants to external systems. Instead of treating MCP as magic tool-calling glue, this book teaches it as a boundary design discipline. You will learn how hosts, clients, and servers fit together; how tools, resources, and prompts differ; how transports and lifecycle negotiation work; how to build and test servers; and how to approach authorization, prompt injection, tool poisoning, local execution, observability, and production rollout. The book is written for developers, platform engineers, AI product engineers, and security-minded technical leads who want to expose real capabilities to AI assistants without losing control of data, actions, and workflows. Topics include: - MCP architecture, JSON-RPC, capabilities, and lifecycle - Tool design with schemas, structured output, idempotency, and approval - Resources, URI patterns, context minimization, and subscriptions - Prompt templates, elicitation, sampling, roots, and workflow boundaries - stdio vs Streamable HTTP transports - Building MCP servers and clients with SDKs and the MCP Inspector - OAuth-shaped authorization, per-client consent, and token audience separation - Prompt injection, tool poisoning, SSRF, session hijacking, and local server risks >If you are building AI assistants that need to work with real systems, this book will help you design MCP integrations that are useful, understandable, and safer to operate.

Pagina's: 129, Paperback, Independently published