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github

greybeard

An MCP server that provides AI-powered code review and architecture analysis, simulating the perspective of an experienced staff engineer. It integrates with IDEs to review diffs, design decisions, an

50poor
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
30
7.5
Adoption
20%
0
0.0
Quality
10%
20
2.0
Trust
10%
50
5.0
Total
49.5
⚿ Capabilities & Risk Explainer
fs readfs writenetworkexecsecrets
◆ Risk level: high
fs read + fs write + network + exec + secrets active — can execute code, access credentials, and make external network calls.
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/btotharye/greybeard
📈 Score historylast 10 snapshots
5/28/20266/6/2026 · 10 snapshots
⚙ Maintenance health
82/ 100 · is this project alive?
contributors (1y)5
top contributor share65%
releases (1y)11
last release73d ago
ci✓ passing
⛁ Raw data
weekly downloads0
github stars0
forks0
open issues0
license✗ missing
readme length0 chars
last updated9d ago
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greybeard — MCP Score: 50/100 | MCPScore | Timeahead