Lucidity MCP Server

@hyperb1iss

Basic information

About Lucidity MCP Server

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.

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Lucidity MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "lucidity-mcp": {
      "command": "uv",
      "args": [
        "venv",
        ".venv"
      ]
    }
  }
}

Lucidity MCP Server tools

Prepares git changes for analysis through MCP

Overview

What is ✨ Lucidity MCP 🔍?

Lucidity is a Model Context Protocol (MCP) server that enhances AI-generated code quality through intelligent, prompt-based analysis. It provides structured guidance to AI coding assistants to identify common quality issues, resulting in cleaner and more maintainable code.

How to use ✨ Lucidity MCP 🔍?

Install by cloning the repository, setting up a virtual environment with uv venv, and running uv sync. Start the server with lucidity-mcp using stdio transport for terminal use, or lucidity-mcp --transport sse --host 127.0.0.1 --port 6969 for network-based interaction. Connect an MCP-compatible AI assistant via the SSE URI sse://localhost:6969/sse and invoke the analyze_changes tool.

Key features of ✨ Lucidity MCP 🔍

Comprehensive issue detection across 10 quality dimensions
Git-aware analysis directly from code changes
Language agnostic – works with any programming language
Flexible transport: stdio and SSE
Seamless integration with MCP-compatible AI assistants
Lightweight server with minimal dependencies

Use cases of ✨ Lucidity MCP 🔍

Pre-commit code quality review of git changes
Identifying security vulnerabilities in code modifications
Ensuring code follows best practices and project conventions
Detecting unintended code deletion or hallucinated components
Assessing test coverage gaps in new features

Frequently asked questions

What transports does Lucidity support?

Lucidity supports stdio for terminal-based interaction and SSE for network-based communication.

What are the prerequisites?

Python 3.13 or higher, Git (for analyzing code changes), and UV package manager are required.

How does Lucidity analyze code?

It analyzes code changes from git diff across 10 quality dimensions including complexity, security, performance, and style inconsistencies.

Can I use it with any AI assistant?

It integrates with Claude and other MCP-compatible AI assistants via the `analyze_changes` tool.

How do I run Lucidity in SSE mode?

Start the server with `lucidity-mcp --transport sse --host 127.

Comments

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