MCP Python: A Hands‑On Beginner’s Guide to Building Your First Context‑Aware MCP Server
Unlock the power of context‑aware AI by mastering the Model Context Protocol (MCP) with Python—no prior MCP experience required!
Why This Book?
Gone are the days of one‑size‑fits‑all chatbots. Today’s most powerful AI tools understand your unique context: your calendar, your database, your streaming data. MCP Python teaches you, from the ground up, how to build servers and clients that speak the MCP “language,” automatically share capabilities via JSON‑RPC manifests, and orchestrate context‑rich tools and agents.
What You’ll Learn
Core Protocols & Architecture: Grasp JSON‑RPC 2.0, MCP’s manifest schema, and both sync and async server/client patterns.
Step‑by‑Step Tutorials: Stand up your first MCP server in minutes, register request handlers, send batch calls, and build robust, secure pipelines.
Context‑Aware Agents: Craft a live chatbot server that remembers prior turns, integrate with OpenAI/Claude via function‑calling, and build advanced tools for file I/O, HTTP/GraphQL, and databases.
Real‑World Projects: Deliver weekly PDF reports, automate calendar scheduling, implement retrieval‑augmented search (RAG), and assemble end‑to‑end data‑analysis pipelines.
Best Practices & Production Readiness: Learn testing strategies with pytest, fault‑injection and resilience patterns, structured logging, metrics with Prometheus/Grafana, CI/CD with GitHub Actions, Docker/Kubernetes deployment, and audit‑ready compliance.
Advanced Topics: Explore WebSockets for real‑time streaming, message‑queue integration (RabbitMQ, Kafka), service meshes, hybrid cloud & edge patterns, and serverless MCP on AWS Lambda/Azure Functions.
Who Should Read This?
Pythonistas wanting to level‑up into AI‑driven, context‑aware services.
API Developers seeking a unified protocol and manifest‑driven tooling.
Tech Leads & Architects aiming for scalable, secure, and observable microservices.
Curious Beginners excited to blend code‑first tutorials with deep‑dive best practices.
With clear examples, ASCII diagrams, hands‑on exercises, and a consistent reader‑first structure, MCP Python ensures you’ll not only understand the theory—you’ll ship production‑quality, context aware AI tools and agents.
Get ready to transform your Python projects into truly intelligent, context‑driven services—one MCP call at a time!
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Paperback. Etat : new. Paperback. MCP Python: A Hands-On Beginner's Guide to Building Your First Context-Aware MCP ServerUnlock the power of context-aware AI by mastering the Model Context Protocol (MCP) with Python-no prior MCP experience required!Why This Book?Gone are the days of one-size-fits-all chatbots. Today's most powerful AI tools understand your unique context: your calendar, your database, your streaming data. MCP Python teaches you, from the ground up, how to build servers and clients that speak the MCP "language," automatically share capabilities via JSON-RPC manifests, and orchestrate context-rich tools and agents.What You'll LearnCore Protocols & Architecture: Grasp JSON-RPC 2.0, MCP's manifest schema, and both sync and async server/client patterns.Step-by-Step Tutorials: Stand up your first MCP server in minutes, register request handlers, send batch calls, and build robust, secure pipelines.Context-Aware Agents: Craft a live chatbot server that remembers prior turns, integrate with OpenAI/Claude via function-calling, and build advanced tools for file I/O, HTTP/GraphQL, and databases.Real-World Projects: Deliver weekly PDF reports, automate calendar scheduling, implement retrieval-augmented search (RAG), and assemble end-to-end data-analysis pipelines.Best Practices & Production Readiness: Learn testing strategies with pytest, fault-injection and resilience patterns, structured logging, metrics with Prometheus/Grafana, CI/CD with GitHub Actions, Docker/Kubernetes deployment, and audit-ready compliance.Advanced Topics: Explore WebSockets for real-time streaming, message-queue integration (RabbitMQ, Kafka), service meshes, hybrid cloud & edge patterns, and serverless MCP on AWS Lambda/Azure Functions.Who Should Read This?Pythonistas wanting to level-up into AI-driven, context-aware services.API Developers seeking a unified protocol and manifest-driven tooling.Tech Leads & Architects aiming for scalable, secure, and observable microservices.Curious Beginners excited to blend code-first tutorials with deep-dive best practices.With clear examples, ASCII diagrams, hands-on exercises, and a consistent reader-first structure, MCP Python ensures you'll not only understand the theory-you'll ship production-quality, context aware AI tools and agents.Get ready to transform your Python projects into truly intelligent, context-driven services-one MCP call at a time! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798280808874
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Paperback. Etat : new. Paperback. MCP Python: A Hands-On Beginner's Guide to Building Your First Context-Aware MCP ServerUnlock the power of context-aware AI by mastering the Model Context Protocol (MCP) with Python-no prior MCP experience required!Why This Book?Gone are the days of one-size-fits-all chatbots. Today's most powerful AI tools understand your unique context: your calendar, your database, your streaming data. MCP Python teaches you, from the ground up, how to build servers and clients that speak the MCP "language," automatically share capabilities via JSON-RPC manifests, and orchestrate context-rich tools and agents.What You'll LearnCore Protocols & Architecture: Grasp JSON-RPC 2.0, MCP's manifest schema, and both sync and async server/client patterns.Step-by-Step Tutorials: Stand up your first MCP server in minutes, register request handlers, send batch calls, and build robust, secure pipelines.Context-Aware Agents: Craft a live chatbot server that remembers prior turns, integrate with OpenAI/Claude via function-calling, and build advanced tools for file I/O, HTTP/GraphQL, and databases.Real-World Projects: Deliver weekly PDF reports, automate calendar scheduling, implement retrieval-augmented search (RAG), and assemble end-to-end data-analysis pipelines.Best Practices & Production Readiness: Learn testing strategies with pytest, fault-injection and resilience patterns, structured logging, metrics with Prometheus/Grafana, CI/CD with GitHub Actions, Docker/Kubernetes deployment, and audit-ready compliance.Advanced Topics: Explore WebSockets for real-time streaming, message-queue integration (RabbitMQ, Kafka), service meshes, hybrid cloud & edge patterns, and serverless MCP on AWS Lambda/Azure Functions.Who Should Read This?Pythonistas wanting to level-up into AI-driven, context-aware services.API Developers seeking a unified protocol and manifest-driven tooling.Tech Leads & Architects aiming for scalable, secure, and observable microservices.Curious Beginners excited to blend code-first tutorials with deep-dive best practices.With clear examples, ASCII diagrams, hands-on exercises, and a consistent reader-first structure, MCP Python ensures you'll not only understand the theory-you'll ship production-quality, context aware AI tools and agents.Get ready to transform your Python projects into truly intelligent, context-driven services-one MCP call at a time! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798280808874
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