An open source MCP server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.
Find relevant Tecton code examples by querying a vector index. Get Python snippets for entities, configs, feature views, and tests to guide implementation.
Fetch and analyze logs from Tekton PipelineRun pods in Kubernetes, prioritizing failed pods and managing output size automatically for troubleshooting.
Monitor Tekton pipeline and task run status across clusters to identify failures, long-running processes, and performance trends for DevOps observability.