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Run MegaLinter via MCP for linting, config checks, and quality analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MegaLinter MCP Server" yet — see the docs or source repo.
Use the MegaLinter MCP tool to scan this project repository, check common languages and config files for lint issues, and list failures by severity with affected files and fix suggestions.
A summary of lint results for code and config files, plus issue lists and actionable fix suggestions.
Review the current MegaLinter configuration in the repository, identify invalid entries, conflicting settings, and optimization opportunities, then provide a cleaner recommended configuration.
An explanation of configuration issues, optimization advice, and a recommended config example.
Based on the MegaLinter run results, analyze why this CI job failed, summarize root causes, separate must-fix issues from later improvements, and provide a repair priority order.
A root-cause analysis of the CI failure, issue prioritization, and an ordered remediation plan.
Run dev checks and get compact error summaries for faster debugging.
Validate code rules, automate reviews, and generate reports across multiple stacks.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Analyze, match, and transform code structures across multiple programming languages.
Perform static taint analysis on Python code to detect security vulnerabilities.
Verify AI-generated code for quality, security, and performance with more trust.