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Lumino MCP Server

AI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools

RUN IN TERMINAL
claude mcp add geored-lumino -- uvx lumino-mcp-server
ADD TO claude_desktop_config.json
{ "mcpServers": { "geored-lumino": { "command": "uvx", "args": ["lumino-mcp-server"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "geored-lumino": { "command": "uvx", "args": ["lumino-mcp-server"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "geored-lumino": { "command": "uvx", "args": ["lumino-mcp-server"] } } }

About This MCP Server

AI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with cloud & infrastructure capabilities via the stdio transport.

Package

lumino-mcp-server on pypi

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.

What tools does it provide?

The Lumino MCP Server server extends your AI assistant with cloud & infrastructure capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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