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.
Last commit July 14, 2026, 121 days ago.
11 GitHub stars and 0 Honeystax upvotes. Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
Starts at 6. Added: last commit 121 days ago +14, 94 open issues +7, no security policy +8, no code of conduct +3.
AI Agent
Universal
Model
Multiple
Fastest way to find out if lumino-mcp-server belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add lumino-mcp-server -- npx lumino-mcp-serverRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove lumino-mcp-serverNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ lumino-mcp-server ← registers here
lumino-mcp-server is listed on Honeystax as a MCP Server for Universal, since July 13, 2026. Its code is at github.com/spre-sre/lumino-mcp-server, with 11 GitHub stars and 94 open issues. Last commit July 14, 2026, 121 days ago. GitHub's community health check gives it 87 out of 100.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 14, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.