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better-code-review-graph

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Reduces code review latency and cognitive load by enabling precise function/dependency lookup without manual search, while optimizing token costs through eff…

Knowledge graph for token-efficient code reviews — fixed search, qualified call resolution, dual-mode embedding (ONNX + multi-provider cloud)

66 starsApache-2.0 (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces code review latency and cognitive load by enabling precise function/dependency lookup without manual search, while optimizing token costs through efficient embedding strategies.

Engineering teams conducting high-volume code reviews seeking faster context resolution and reduced AI API consumption.

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https://github.com/n24q02m/better-code-review-graph

By n24q02m

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude mcp add better-code-review-graph -- uvx --python 3.13 better-code-review-graph

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Help me quickly locate function definitions across large monorepos during review
CostFree

Trust Signals Auto-scanned

Stars66Contributors10Last updated2026-08-16LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-17 · scanner v1

Community Pulse Growing

Discussed on Reddit

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Auto-assessment from April sweep — baseline scores pending hands-on review.

2026-04-18: Approved in April sweep: New and small but has a clear description and recent commits — worth tracking.

Things to check

  • Requires upfront investment building and maintaining the knowledge graph; effectiveness depends on codebase structure and language support. ONNX embedding mode may have lower semantic accuracy than cloud providers.

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

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedApr 2026

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