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KiCAD MCP: AI-Assisted PCB Design GitHub avatar

KiCAD MCP: AI-Assisted PCB Design

KiCAD MCP is a Model Context Protocol (MCP) implementation that enables Large Language Models (LLMs) like Claude to directly interact with KiCAD for printed circuit board design.

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 N/A due to high star velocity.

Star Velocity
Strong
+117
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
Stable
Ops health 85/100
Risk Level
stable
Anomaly, decay, and volatility guardrail
Signal Confidence
Collecting
Historical depth still building
Issue Resolution
0%
0 closed / 2 total issues
Adoption outlook
Recommended posture
Monitor

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

Health: StableRisk: 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
67.0
INDEXEDiHow we rank
Current score
67.0
Weekly delta
N/A
Release recency
13d
Commits 30d
N/A
Intelligence ExportPlan: ...
Export Historical CSV

KiCAD MCP: AI-Assisted PCB Design: export and report actions do not influence ranking or scoring.

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