lean-ctx
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
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.
Engineering teams using Claude, Cursor, Copilot, or other AI coding tools who need to control LLM context window usage without sacrificing code generation accuracy.
https://github.com/yvgude/lean-ctx
By yvgude
How to Get It
claude plugins install yvgude/lean-ctx
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 features in large monorepos without sending entire codebase
Trust Signals Auto-scanned
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1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 3,589 GitHub stars; 54 contributors; 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.
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Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 3,589 GitHub stars; 54 contributors; last commit 0d ago; license Apache-2.0.