hyperb1iss/lucidity-mcp

Overview

Lucidity MCP is a Python tool that uses the Model Context Protocol to help AI assistants analyze code quality. It examines git changes for complexity, security issues, and other metrics through structured prompts.

Best for

Best for
Developers who want to automate code quality reviews using MCP-compatible AI assistants

Use cases

• Reviewing pull requests for code complexity and security vulnerabilities
• Integrating AI code review into CI/CD pipelines via MCP
• Automating structured code quality checks on git diffs

How to use

Tools exposed

• analyze_changes

Notes

Lucidity MCP is a Python tool that uses the Model Context Protocol to help AI assistants analyze code quality. It examines git changes for complexity, security issues, and other metrics through structured prompts.

85 stars on GitHub. Last updated 2025-03-19. Licensed Apache-2.0.

Use cases

• Reviewing pull requests for code complexity and security vulnerabilities
• Integrating AI code review into CI/CD pipelines via MCP
• Automating structured code quality checks on git diffs

Pros

• Leverages MCP for standardized AI assistant integration
• Focuses on actionable git change analysis
• Open source with 85 GitHub stars and active development

Cons

• Requires an MCP-compatible AI assistant to function
• Limited to analyzing git changes, not full codebases
• Small community and limited documentation beyond the repository

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.