enola
Enola captures live codebase topology and dependencies as queryable knowledge graphs, enabling teams to validate architectural decisions, detect coupling ris…
enola - MCP Architectural Snapshot Server and Knowledge Graph
- Generate architectural snapshots of your codebase to document system design decisions.
- Ask Claude to analyze knowledge graphs extracted from your repository structure.
- Visualize dependencies and relationships between services in your microservices setup.
Enola captures live codebase topology and dependencies as queryable knowledge graphs, enabling teams to validate architectural decisions, detect coupling risks, and onboard engineers faster without manual documentation drift.
Architecture review teams and platform engineers managing complex microservice or monolithic codebases requiring real-time dependency visibility.
https://github.com/enola-labs/enola
By enola-labs
How to Get It
claude plugins install enola-labs/enola
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate architectural snapshots of my codebase to document system design decisions
Trust Signals Auto-scanned
Community Pulse New
- Show HN: Enola-A deterministic architecture graph for developers and AI agents — Hacker News · 10 pts
- Apple to Bring Paid Search to the App Store — Hacker News · 3 pts
- App Development Checklist: What to Consider Before Beginning — Hacker News · 2 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 78 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 78 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.