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260,863 tools. Last updated 2026-07-05 08:54

"Viewing SonarQube Code Analysis Findings for My Code" matching MCP tools:

  • Run static code analysis on provided files using Semgrep to detect vulnerabilities and return findings in JSON format for detailed inspection and remediation.
    MIT
  • Generate a standalone HTML report with all UI audit findings. Runs screenshot, accessibility, performance, and code analysis, outputting a shareable file with zero external dependencies.
    MIT
  • Analyze code-database dependencies to assess impacts before implementing changes. Use this tool to identify which code relies on specific database objects or how database changes affect code. Essential for validating AI-suggested modifications or SQL code updates.
    Mozilla Public 2.0
  • Scan a project for code quality issues using 25 governance rules across 10 categories. Get a score, grade, findings by category, and hotspot files.
    MIT

Matching MCP Servers

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    An MCP server that provides six code review tools for use with Claude Code or any MCP client. Each tool reads a file from disk, pairs its contents with a structured review prompt, and returns the bundle for the LLM to evaluate.
    Last updated
    MIT
  • F
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    The server facilitates natural language interactions for exploring and understanding codebases, providing insights into data models and system architecture using a cost-effective, simple setup with support for existing Claude Pro subscriptions.
    Last updated
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    27

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  • Analyze project source code to build a queryable code graph. Required before using query tools to explore code structure and dependencies.
  • Analyze code already in context to get structured findings, quality score, and improvement suggestions. Choose from security, performance, quality, or comprehensive reviews.
    Apache 2.0
  • Compares two versions of code to identify improvements, regressions, and neutral changes. Returns a merge recommendation for code review and refactoring validation.
    MIT
  • Understand large codebases by sending a prompt; receive a structured analysis report with key findings and code insights.
    MIT
  • Review a code snippet or file for complexity, error handling, magic numbers, nesting, and dead code with scored findings and fixes. Optionally pass file_path for VS Code inline diagnostics.
    MIT
  • Consult advanced AI models for complex programming problems by providing code context and neutral questions to get unbiased analysis, code reviews, or implementation advice.
    MIT
  • Analyze code diffs to detect bugs, security vulnerabilities, and best practice violations. Provides findings with severity, explanations, and suggested fixes.
  • Analyze code files for review findings, flagging only changes vs git baseline. Supports unsaved or generated code via content input.
    Apache 2.0
  • Analyze AI agent skills for security risks including prompt injection, malicious code, and credential handling using static analysis across 8 risk categories. Returns risk scores and detailed findings.
    MIT