$ loading_
Run static code analysis and detect code smells via an external API.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "code-smell-detection-mcp" yet — see the docs or source repo.
Use code-smell-detection-mcp to scan the project's src directory, run static analysis, and list the main code smells sorted by severity, including file location, cause, and fix suggestions for each issue.
A code smell report grouped by severity with locations, explanations, and improvement suggestions.
Analyze the files changed in this branch compared with the main branch, identify newly introduced code smells and quality risks, focus only on issues added by this commit set, and summarize whether the merge is recommended.
A merge-review summary highlighting newly introduced issues and whether merging is recommended.
Run static analysis on the current codebase, find duplicated code, long functions, high complexity, and over-coupled modules, then provide the top 5 refactoring priorities with reasons.
A prioritized refactoring list describing high-risk modules and recommended optimization directions.
Analyze, match, and transform code structures across multiple programming languages.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Access Codescan projects, metrics, and filtered issue data through AI.
Run local static analysis for TypeScript, JavaScript, and C# repositories.
Analyze codebase health and detect dead code, dependency, and architecture issues.
Analyze local code quality, review diffs, and score whole projects.