> Unified code quality pipeline for AI-assisted development
Just ask "Autoconfigure LucidShark"—Claude analyzes your codebase and generates perfect config automatically.
Native Model Context Protocol support. AI agents receive structured feedback and fix issues directly.
Linting, type checking, SAST, SCA, IaC validation, container scanning, tests, coverage, duplication.
Runs entirely on your machine. No cloud services, no SaaS subscriptions. Your code stays private.
Quality standards in lucidshark.yml. Version controlled with team-wide consistency.
Same tool, same rules everywhere. Consistent results locally and in your pipeline.
LucidShark integrates directly with Claude Code via MCP. Just ask Claude to configure your project—it analyzes your codebase, asks clarifying questions, and generates a tailored lucidshark.yml.
$ lucidshark init
✓ Created .mcp.json
✓ Created .claude/CLAUDE.md
[INFO] Restart Claude Code to activate MCP
You: Autoconfigure LucidShark for this project
Claude: I'll analyze your codebase...
Detected: Python, TypeScript
Testing framework: pytest
What coverage threshold do you want?
# Restart Claude Code to load the new config
# Then ask Claude to check your code:
You: Run LucidShark and fix any issues
✓ Scanning... All checks passed!
$ pip install lucidshark
$ curl -fsSL https://raw.githubusercontent.com/toniantunovi/lucidshark/main/install.sh | bash
> irm https://raw.githubusercontent.com/toniantunovi/lucidshark/main/install.ps1 | iex
# 1. Initialize MCP integration
$ lucidshark init
# 2. Restart Claude Code, then ask:
You: Autoconfigure LucidShark for this project
# Claude analyzes your codebase and generates lucidshark.yml
# 3. Restart Claude Code again to load the new config
# 4. Now Claude can check your code quality:
You: Run LucidShark and fix any issues
Join developers using LucidShark to maintain code quality with AI assistance.