How do I install the lumino mcp server?

This profile does not contain a verified copy-paste launch configuration. Follow the current project documentation to confirm the runtime, entry point, transport and authentication before registering it in your client.

What credentials does it need?

It reads `PYTHONUNBUFFERED`, `THANOS_URL`, `PROMETHEUS_TOKEN`, `KUBERNETES_NAMESPACE`, `PROMETHEUS_URL`, `KUBEARCHIVE_HOST`, `OPENSHIFT_TOKEN`, `KUBERNETES_SERVICE_HOST` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

SSyncDev

Start a project

Lumino MCP Server

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

Local serverstdioPython

What is the Lumino MCP Server?

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

What the server does

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 39 specialized tools through the Model Context Protocol, it enables AI assistants to:

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
list_namespaces	List all namespaces in the cluster
list_pods_in_namespace	List pods with status and placement info
get_kubernetes_resource	Get any Kubernetes resource with flexible output
search_resources_by_labels	Search resources across namespaces by labels
query_kubearchive	Query archived Kubernetes resources from KubeArchive with optional log retrieval
list_pipelineruns	List PipelineRuns with status and timing
list_taskruns	List TaskRuns, optionally filtered by pipeline
get_pipelinerun_logs	Retrieve pipeline logs with optional cleaning
list_recent_pipeline_runs	Recent pipelines across all namespaces
find_pipeline	Find pipelines by pattern matching
get_tekton_pipeline_runs_status	Cluster-wide pipeline status summary
analyze_logs	Extract error patterns from log text
smart_summarize_pod_logs	Intelligent log summarization
stream_analyze_pod_logs	Streaming analysis for large logs

Configuration

Variable	Description	Required
PYTHONUNBUFFERED	Configuration value read at startup.	Optional
THANOS_URL	Endpoint or connection string the server talks to.	Yes
PROMETHEUS_TOKEN	Credential the server authenticates with.	Yes
KUBERNETES_NAMESPACE	Configuration value read at startup.	Optional
PROMETHEUS_URL	Endpoint or connection string the server talks to.	Yes
KUBEARCHIVE_HOST	Endpoint or connection string the server talks to.	Optional
OPENSHIFT_TOKEN	Credential the server authenticates with.	Yes
KUBERNETES_SERVICE_HOST	Endpoint or connection string the server talks to.	Optional

Example prompts to try

“Use Lumino to list namespaces.”
“Use Lumino to list pods in namespace.”
“Use Lumino to get kubernetes resource.”

Frequently asked questions

AI-powered SRE observability for Kubernetes/OpenShift with 40+ Tekton debugging tools Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.