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MCP for Developers: Connecting AI Assistants to Tools, Data, APIs, and Workflows
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Publisher: Independently Published
Pages: 130
Weight: 0.40
Height: 0.28 Width: 6.00 Depth: 9.00
Language: English
- 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
- Production patterns for observability, reliability, schema evolution, registries, apps, and tasks 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.
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