code analysis & quality

Transforms JaCoCo code coverage reports into AI-friendly formats for enhanced analysis and insights.

Transforms Ghidra into a reverse-engineering backend by extracting decompiled binary data and exposing it to LLMs via MCP.

Facilitates AI-driven .NET project analysis by extracting interfaces, models, and data structures using PowerShell scripts.

Conducts comprehensive accessibility audits on webpages using axe-core, integrating seamlessly with AI assistants to address a11y issues.

Efficiently explore and analyze Git repositories with advanced caching and cross-repository code pattern search, integrating seamlessly with Claude AI.

A Go-based Anthropic MCP server facilitating self-review of GitHub pull requests with Claude AI integration.

Facilitates comprehensive quality checks and release note generation for Git repositories, while also providing security risk analysis.

Provides code structure and semantic analysis using AST and ASG for multiple programming languages, enhancing code analysis capabilities in Claude Desktop.

Facilitates the planning and creation of clean, well-structured code with comprehensive English comments, focusing on readability and maintainability.

Code Oracle leverages AI to efficiently locate code within large codebases using Gemini 2.5 Flash, integrating seamlessly as an MCP server in Cursor.

Vulert secures software by detecting vulnerabilities in open-source dependencies—without accessing your code. It supports Js, PHP, Java, Python, and more.

Facilitates code file extraction, merging, and analysis for large language models using the Model Context Protocol.

Provides code context and analysis for AI assistants by extracting directory structures and code symbols using WebAssembly Tree-sitter parsers.

Generates unit tests for component libraries using the MCP protocol.

Go Archer provides a visual representation of package dependencies and can operate as an MCP server for dependency analysis.

VueSage enhances Vue component quality through intelligent analysis and optimization, leveraging MCP for seamless integration with editors.

Facilitates AI assistants in analyzing code by identifying function usage within Python and TypeScript/TSX files.

Automated GitHub pull request code reviews using AI models via MCP integration.

Facilitates seamless IDE integration with Fuel Network and Sway Language documentation through advanced semantic search capabilities.

Enhance TypeScript codebases by intelligently analyzing and replacing 'any' types with specific types, while offering React component interface generation and advanced error handling.