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Mcp Rubber Duck

Query multiple LLMs in parallel from AI coding tools. Ask a question to OpenAI, Gemini, Groq, or any OpenAI-compatible API — and CLI agents like Claude Code, Codex, and Gemini CLI — then compare answers, run consensus votes, structured debates, and judge evaluations. Rubber duck debugging, but the ducks talk back.

Monitor
Intelligence Summary

Signals are stable with no major breakout or decline pattern detected in recent weekly snapshots.

Why is this trending?

Explainability

Momentum changed by 1% due to steady ecosystem activity.

Star Velocity
Low
+1
Quality Change
Low
N/A
Commit Spikes
Low
N/A
Health & Risk Radar

Operational posture, confidence, and momentum classification in one decision panel.

MonitorACTIVE
Health Status
healthy
Ops health 85/100
Risk Level
stable
Anomaly, decay, and volatility guardrail
Signal Confidence
Collecting
Historical depth still building
Issue Resolution
0%
0 closed / 25 total issues
Adoption outlook
Recommended posture
Monitor

Momentum and health are visible, but confidence depth is still incomplete.

Health: healthyRisk: stableConfidence: Collecting
Why this outlook?

The final outlook blends raw trend signals with quality, confidence, and operational risk. These are the strongest drivers right now.

Base: 70
+0 Historical depth (0 weeks)
+10 No anomaly
+0 Health stability (last 3 weeks)
Momentum classification
Momentum Score
50.7
ACTIVEiHow we rank
Current score
50.7
Weekly delta
+0.7%
Release recency
39d
Commits 30d
N/A
Intelligence ExportPlan: ...
Export Historical CSV

Mcp Rubber Duck: export and report actions do not influence ranking or scoring.

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