Making Apache Camel Documentation Accessible to LLMs

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The Apache Camel website now generates markdown versions of all documentation pages following the llms.txt specification. This makes our documentation easily accessible to Large Language Models (LLMs) and AI coding assistants. What is llms.txt? The llms.txt specification is a standardized format that helps LLMs discover and consume website content efficiently. Similar to how robots.txt guides web crawlers and sitemap.xml helps search engines, llms.txt provides a structured entry point for AI systems to understand and access documentation.

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TOOLING

Kaoto v2.8 release

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What’s New in Kaoto 2.8? This release represents a major step forward in DataMapper maturity, with extensive XML Schema support improvements, better visual feedback, and numerous stability fixes. We’ve also enhanced the canvas experience with contextual menus and improved the forms system for better configuration management. Here are the key highlights of this release: DataMapper XML Schema Support Enhancements Kaoto 2.8 brings improvements to XML Schema handling in the DataMapper:

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RELEASESTOOLING

Apache Camel Meets MCP: Securely Exposing Your Enterprise Routes as MCP Tools with Wanaku

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The biggest challenge for enterprises in the rapidly evolving world of Generative AI isn’t just building “smarter” LLMs or agents — it’s securely connecting that AI to the decades of business logic and data locked away in enterprise systems. How do you let an AI agent interact with your Salesforce data, your Kafka topics, or your internal databases without rewriting everything or creating a massive security hole? It turns out the answer may already be running in your organization.

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AI