SELF-HOSTED AI AUTOMATION WITH n8n AND MCP : Build Production-Ready AI Agents, MCP Servers, Local LLM Workflows, RAG, APIs, OAuth, Security, Observability, and Enterprise Automation
Language: English
Published by Independently Published Sep 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 42.30
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Add to basketItem description from seller
Neuware - SELF-HOSTED AI AUTOMATION WITH n8n AND MCP is a practical guide to building secure, production-ready AI automation systems on infrastructure you control. Learn how to deploy n8n with Docker, PostgreSQL, Redis, workers, HTTPS, and secure credentials; build AI agents with local and cloud LLMs; create MCP servers and tools; design private RAG systems with Ollama, Qdrant, and pgvector; and connect APIs, OAuth, observability, security, and human approval workflows.You will also learn how to scale n8n, protect sensitive data, prevent unsafe AI actions, monitor workflows with OpenTelemetry and Grafana, troubleshoot failures, and recover from outages.>Ideal for DevOps engineers, SREs, platform engineers, automation professionals, developers, security practitioners, and advanced self-hosters who want to build private, secure, and reliable AI automation systems.
Seller Inventory # 9798175886796
- Title
- SELF-HOSTED AI AUTOMATION WITH n8n AND MCP : Build Production-Ready AI Agents, MCP Servers, Local LLM Workflows, RAG, APIs, OAuth, Security, Observability, and Enterprise Automation
- Author
- Ren Amahoshi
- Publisher
- Independently Published Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798175886796
- Item weight
- 822 grams
- Dimensions
- 279x216x19 mm
Learn how to deploy n8n with Docker, PostgreSQL, Redis, workers, HTTPS, and secure credentials; build AI agents with local and cloud LLMs; create MCP servers and tools; design private RAG systems with Ollama, Qdrant, and pgvector; and connect APIs, OAuth, observability, security, and human approval workflows.
You will also learn how to scale n8n, protect sensitive data, prevent unsafe AI actions, monitor workflows with OpenTelemetry and Grafana, troubleshoot failures, and recover from outages.
The book concludes with a complete hands-on capstone where you build an integrated platform combining n8n, AI agents, local LLMs, enterprise RAG, MCP clients and servers, APIs, OAuth, human approval, observability, security, backup, and recovery.
Ideal for DevOps engineers, SREs, platform engineers, automation professionals, developers, security practitioners, and advanced self-hosters who want to build private, secure, and reliable AI automation systems.
"Synopsis" may belong to another edition of this title.
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