spre-sre/lumino-mcp-server
AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.
Platform-specific configuration:
{
"mcpServers": {
"lumino-mcp-server": {
"command": "npx",
"args": [
"-y",
"lumino-mcp-server"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
[](https://opensource.org/licenses/Apache-2.0) [](https://www.python.org/downloads/) [](https://modelcontextprotocol.io/) [](https://pypi.org/project/lumino-mcp-server/)
<!-- mcp-name: io.github.geored/lumino -->
An open source MCP (Model Context Protocol) server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.
LUMINO MCP Server transforms how Site Reliability Engineers (SREs) and DevOps teams interact with Kubernetes clusters. By exposing 37 specialized tools through the Model Context Protocol, it enables AI assistants to:
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