lucidity-mcp
If you are the rightful owner of lucidity-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
Lucidity is a Model Context Protocol (MCP) server designed to enhance the quality of AI-generated code through intelligent, prompt-based analysis.
Lucidity MCP is a server that provides structured guidance to AI coding assistants, helping them identify and address common quality issues in code. It offers comprehensive issue detection across multiple dimensions, such as complexity, security vulnerabilities, and style inconsistencies. Lucidity is language-agnostic, meaning it can work with any programming language understood by the AI assistant. It provides focused analysis, allowing users to target specific issue types based on project needs. The server outputs structured feedback, guiding AI to provide actionable recommendations. Lucidity integrates seamlessly with Claude and other MCP-compatible AI assistants, offering a lightweight implementation with minimal dependencies. It supports both stdio and SSE transports for flexible communication and is designed to analyze changes directly from git diff, making it ideal for pre-commit reviews.
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 AI assistant understands
- Focused Analysis - Option to target specific issue types based on project needs
- Structured Outputs - Guides AI to provide actionable feedback with clear recommendations
Tools
analyze_changes
Prepares git changes for analysis through MCP
