claude mcp add geored-lumino -- uvx lumino-mcp-server
{
"mcpServers": {
"geored-lumino": {
"command": "uvx",
"args": ["lumino-mcp-server"]
}
}
}
{
"mcpServers": {
"geored-lumino": {
"command": "uvx",
"args": ["lumino-mcp-server"]
}
}
}
{
"mcpServers": {
"geored-lumino": {
"command": "uvx",
"args": ["lumino-mcp-server"]
}
}
}
About This MCP Server
The lumino Model Context Protocol server is a cloud-based tool that provides AI-powered SRE observability for Kubernetes and OpenShift environments, enabling developers to leverage over 40 Tekton debugging tools for enhanced troubleshooting capabilities. It connects to Kubernetes and OpenShift platforms, allowing developers to utilize its features for improved observability and debugging. Developers would reach for this tool when they need to debug and troubleshoot issues in their Kubernetes or OpenShift environments, particularly when working with Tekton pipelines.
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.
