Lumino
🐍 ☁️ - AI-powered SRE observability for Kubernetes and OpenShift with 40+ tools for Tekton pipeline debugging, log analysis, root cause analysis, and predictive monitoring.
What is Lumino?
Lumino is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 🐍 ☁️ - ai-powered sre observability for kubernetes and openshift with 40+ tools for tekton pipeline debugging, log analysis, root cause analysis, and predictive monitoring.
🐍 ☁️ - AI-powered SRE observability for Kubernetes and OpenShift with 40+ tools for Tekton pipeline debugging, log analysis, root cause analysis, and predictive monitoring.
This server falls under the Monitoring & Observability and Cloud Services categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- 🐍 ☁️ - AI-powered SRE observability for Kubernetes and OpenS
Use Cases
Maintainer
Works with
Installation
PIP
pip install lumino-mcp-serverManual Installation
pip install lumino-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Lumino
What is Lumino?
Lumino is a Model Context Protocol (MCP) server that 🐍 ☁️ - ai-powered sre observability for kubernetes and openshift with 40+ tools for tekton pipeline debugging, log analysis, root cause analysis, and predictive monitoring. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Lumino?
Install via pip with: pip install lumino-mcp-server. Then configure your AI client to connect to this MCP server.
Which AI clients work with Lumino?
Lumino works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Lumino free to use?
Yes, Lumino is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Monitoring & Observability MCP Servers
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Set Up Lumino in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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