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510,481 tools. Updated 2026-09-04 01:28

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

  • Fetch executed test case results from a suite, returning status, agent findings, and code details. Use after dispatching an agent to check progress and completion.
    MIT
  • Understand large codebases by sending a prompt; receive a structured analysis report with key findings and code insights.
    MIT
  • 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 AI documentation for any file in an indexed repository, including summaries, functions, dependencies, and code analysis. Understand file purpose and behavior.
    MIT

Matching MCP Servers

  • A
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    quality
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    maintenance
    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.
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    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.
    4
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  • Run static analysis detectors on Solidity smart contracts to identify vulnerabilities, code quality issues, and informational findings. Filter results by detector names, impact, confidence, or exclude paths.
    AGPL 3.0
  • 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
  • Retrieve code-health scores and findings from stored analysis: get a dashboard overview, or ranked file-level findings with refactoring and performance queues.
    AGPL 3.0
  • Validate Java syntax quickly for a file or inline code. Returns syntax errors without semantic analysis for speed.
    MIT
  • Scan Solidity smart contracts for security vulnerabilities using Slither static analysis. Returns validated findings with severity, description, and code snippets.
    MIT
  • Compares two versions of code to identify improvements, regressions, and neutral changes. Returns a merge recommendation for code review and refactoring validation.
    MIT
  • Generate a read-only code-analysis checklist for a specified target, depth, focus, and tech stack. Use this methodology to guide analysis without inspecting code or storing results.
    MIT