geniussigmaskibidi-gif/geniusmcp
Code Intelligence OS for AI Agents — persistent memory, GitHub intelligence, structural search
Platform-specific configuration:
{
"mcpServers": {
"geniusmcp": {
"command": "npx",
"args": [
"-y",
"geniusmcp"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
<div align="center">
Quality-aware code intelligence that turns GitHub search into ranked, explainable, import-ready recommendations.
[](https://nodejs.org) [](#testing) [](LICENSE) [](https://modelcontextprotocol.io)
<br/>
Not another grep. An intelligence layer.
Quick Start · How It Works · Soul · Tools · Architecture
</div>
---
Every code search tool answers "where is this string?"
None of them answer "what is the _best_ implementation, why, and can I safely use it?"
When you ask genius.hunt("retry with backoff"), GeniusMCP returns:
Archetype 1 — Minimal inline helper
✅ 12 LOC, zero deps, copy-paste ready
Exemplar: owner/repo — score 0.87 (battle_tested)
Why: test-adjacent, MIT license, 3 years stable
Archetype 2 — Configurable utility
✅ Options-driven, max attempts + jitter strategy
Exemplar: owner/repo2 — score 0.82
Why: 14K stars, active maintenance, comprehensive docs
Archetype 3 — Middleware pattern
✅ Express/Fastify compatible, interceptor-based
Exemplar: owner/repo3 — score 0.79
Tradeoff: framework-coupled
Coverage: 3 sources searched, 2 blind spots, confidence: 0.83That's the gap GeniusMCP fills.
---
| Feature | What it does | |---------|-------------| | 🎯 Archetype Search | Finds 3-5 structural families, not 200 raw matches | | 📊 6-Bucket Quality Scoring | queryFit · durability · vitality · importability · codeQuality · evidenceConfidence | | **🔍 Multi-Source
Loading reviews...