by hyperb1iss · MCP Server · ★ 80
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✨ Lucidity MCP 🔍 Clarity in Code, Confidence in Creation Lucidity is a Model Context Protocol (MCP) server designed to enhance the quality of AI-generated code through intelligent, prompt-based analysis. By providing structured guidance to AI coding assistants, Lucidity helps identify and address common quality issues, resulting in cleaner, more maintainable, and more robust code. Before you commit, just ask Lucidity to analyze the changes instead of vibe-coding yourself into a nightmare hellscape! 😱 💥 🚫 💫 Features 🔮 Comprehensive Issue Detection - Covers 10 critical quality dimensions from complexity to security vulnerabilities 🔄 Contextual Analysis - Compares changes against original code to identify unintended modifications 🌐 Language Agnostic - Works with any programming language the
| Stars | 80 |
| Forks | 23 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 43.7/100 |
| Open Issues | 7 |
| Last Updated | 2025-03-19 |
| Created | 2025-03-19 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~7k |
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lucidity-mcp is AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prompts.. It is categorized as a MCP Server with 80 GitHub stars.
lucidity-mcp is primarily written in Python. It covers topics such as ai-tools, claude, code-analysis.
You can find installation instructions and usage details in the lucidity-mcp GitHub repository at github.com/hyperb1iss/lucidity-mcp. The project has 80 stars and 23 forks, indicating an active community.
lucidity-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to lucidity-mcp on Agent Skills Hub include Gito, fossil-mcp, arbor. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.