lean-ctx

Name: lean-ctx Review
Item: lean-ctx
Rating: 4.0
Author: Aaron Matthews

Skill Development Solid

Solid Scanned — metadata only

Dramatically reduces token spend in AI-assisted coding by filtering context to relevant files and dependencies.

Reduce AI coding costs by 99% — MCP Server + Shell Hook for Cursor, Claude Code, Copilot, Windsurf, Gemini CLI & 24 tools. Single Rust binary, zero telemetry.

Generate features in large monorepos without sending entire codebase
Refactor isolated modules while keeping API surface in context
Debug issues by limiting context to affected dependency chains

822 starsApache-2.0 (commercial OK)FreeQuick setup

Why it matters

Dramatically reduces token spend in AI-assisted coding by filtering context to relevant files and dependencies. Cuts API costs while maintaining code quality in large codebases.

Best for

Engineering teams using Claude, Cursor, Copilot, or other AI coding tools who need to control LLM context window usage without sacrificing code generation accuracy.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/yvgude/lean-ctx

By yvgude

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add 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 plugins install yvgude/lean-ctx

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

CostFree

Trust Signals Auto-scanned

Stars822Contributors11Last updated2026-04-24LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-25 · scanner v1

⚠ Data last scanned 2026-04-25 (69 days ago) — may not reflect the tool's current state.

Community Pulse Active

Discussed on Hacker News, Reddit

TOKENS SAVER : Lean-ctx as an MCP (http) service to use alongside jdocmunch and — Reddit · 4 pts

1 mentions across 1 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 822 GitHub stars; 11 contributors; last commit 26d ago; license Apache-2.0.

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 Scores

Evaluation

Ease of Use

4/5

Versatility

4/5

Reliability

4/5

Security

4/5

Overall score4.00 / 5.00 SolidEvaluatedMay 2026

Scored from trust signals (evidence-eval-v1): 822 GitHub stars; 11 contributors; last commit 26d ago; license Apache-2.0.

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