Model Context Protocol moderate risk

Lucidity

Lucidity MCP analyzes code changes using AI to detect quality issues across 10 dimensions, providing structured feedback for cleaner and more robust code.

Connections & Capabilities

Connects To

GitHub

Capabilities

read

Exposed MCP Tools (1)

safe

analyze_changes

Analyzes code changes from a git repository for quality issues.

The tool only reads code and performs analysis without modifying the system.

Safety Assessment

Lucidity is relatively safe as it primarily performs static analysis. The main risk lies in how the connected AI assistant interprets and acts upon the analysis results. It's safer when used with AI assistants that have clear safety protocols and less safe with assistants that have broad permissions and autonomy.

Analyzes code changes without directly executing them.
Focuses on identifying potential issues rather than automatically fixing them.
Provides structured outputs to guide AI assistants in providing feedback.
Git-aware analysis limits scope to changes within a repository.

Relies on the AI assistant to interpret and act on the analysis results.
Potential for false positives or negatives in issue detection.
Exposure of code to the AI assistant for analysis.
Improperly configured AI assistants could act destructively based on Lucidity's output.