✨ Lucidity MCP 🔍 - Overview

📌 Title

Lucidity MCP – A Model Context Protocol server for enhancing AI-generated code quality through intelligent analysis.

🛠️ How to Use

1. Installation: Clone the repository, set up a virtual environment, and install dependencies.
2. Running the Server: Start Lucidity in stdio (terminal) or SSE (network) mode.
3. Integration with AI Assistants: Connect AI tools via MCP protocol to analyze code changes.
4. Analysis Queries: Use prompts like "Analyze my latest git changes" or "Check for security vulnerabilities" to get structured feedback.

💫 Key Features

• Comprehensive Issue Detection: Covers 10+ quality dimensions (complexity, security, performance, etc.).
• Contextual & Git-Aware Analysis: Compares changes against original code.
• Language Agnostic: Works with any programming language.
• Structured Outputs: Provides actionable recommendations.
• Lightweight & Extensible: Minimal dependencies, easy to expand.
• Flexible Transport: Supports stdio and SSE for terminal or network use.

🚀 Use Cases

• Pre-Commit Reviews: Detect issues before code is committed.
• AI-Assisted Refactoring: Improve code maintainability and robustness.
• Security Audits: Identify vulnerabilities in AI-generated code.
• Style Enforcement: Ensure adherence to project conventions.
• Error Handling & Testing: Spot gaps in exception handling or test coverage.

Clarity in Code, Confidence in Creation 🚀