MCPotherpythonRank new
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Tuba Workflow

MCP (Model Context Protocol) Server. Bridges Tuba.ai computer vision workflows to expose AI vision pipelines as callable tools for running workflows, checking execution status, fetching results with automatic ZIP downloads, and updating parameters with support for local files, remote URLs, and base64 uploads.

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 0% due to steady ecosystem activity.

Star Velocity
Low
+0
Quality Change
Low
N/A
Commit Spikes
Low
N/A
Health & Risk Radar

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

MonitorINDEXED
Health Status
warning
Ops health 55/100
Risk Level
stable
Anomaly, decay, and volatility guardrail
Signal Confidence
Collecting
Historical depth still building
Issue Resolution
0%
0 closed / 0 total issues
Adoption outlook
Recommended posture
Monitor

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

Health: warningRisk: 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
50.0
INDEXEDiHow we rank
Current score
50.0
Weekly delta
+0.0%
Release recency
120d
Commits 30d
N/A
Intelligence ExportPlan: ...
Export Historical CSV

Tuba Workflow: export and report actions do not influence ranking or scoring.

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