We’re excited to announce Wanaku 0.1.1, a significant milestone that showcases how Apache Camel’s powerful integration capabilities can be seamlessly exposed to AI agents through the Model Context Protocol (MCP). This release introduces Service Catalogs and Service Templates — features that leverage Apache Camel as the integration runtime to bridge the gap between AI and enterprise systems. What is Wanaku? Wanaku is an open-source MCP router and capability management platform that acts as a smart intermediary between AI agents and integration capabilities.
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Recent Camel releases introduced several features that work well together for AI-powered integrations: the camel-openai component (4.17), the SimpleFunction interface, chain operator, and structured output with JSON Schema (4.18), and Gmail DataType Transformers (4.19). To show how these pieces fit, I built an email triage agent that classifies Gmail messages using an LLM, moves them to labels, and drafts smart replies. The whole thing runs with Camel JBang. No Maven project, no framework setup.
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AIUSECASESTOOLING
© Smithsonian Magazine Here a new fresh release of Camel K: version 2.10.0 is ready to go. We’ve worked to several improvements around the GitOps and Git features introduced lately. We’ve stabilized a few bugs discovered and upgraded dependencies as well. GitOps Pipe We’ve worked to make sure the Camel GitOps is available not only for Integrations but also for Pipes. The principle is exactly the same. You need to configure the gitops trait on the Pipe you want to include in your GitOps flow and the operator will be in charge to provide a PR on the Git repository with the Pipe custom resource.
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