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using-llm-for-automated-code-review-and-validation MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

56,333 tools. Last updated 2026-01-06 20:31
  • Analyze git changes using specified LLM models to review code for task/feature/bugfix alignment, security, performance, and coding standards, tailored to project context.
    MIT License
  • Refactor code intelligently with automated testing, safety validation, and rollback capabilities. Enhance code readability, maintainability, and performance while ensuring high safety standards.
    GPL 3.0
  • Generate LLM prompts for comprehensive code review and scoring to evaluate code quality, style, and commit messages.
    Apache 2.0
  • Generate LLM prompts for reviewing Git diff changes and scoring code modifications to support code review processes.
    Apache 2.0
  • Generate LLM prompts for comprehensive code review and scoring by analyzing code, style, and commit messages to assess quality.
    Apache 2.0

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