Analyze code across multiple files to identify specific pattern usage with regex support and context analysis for understanding complex code and technical debt assessment.
Automate MCP server setup: analyze codebase, generate context files, and configure IDE integrations for efficient project management and AI agent deployment.
Builds rich code graphs from TypeScript/NestJS codebases using AST analysis and Neo4j, enabling semantic search, natural language querying, and intelligent graph traversal to provide deep contextual understanding of code relationships and dependencies.
An MCP server that provides semantic search over local git repositories, enabling users to clone repositories, process branches, and search code through vectorized code chunks.
Provides code context and analysis for AI assistants by extracting directory structures and code symbols using WebAssembly Tree-sitter parsers with zero native dependencies.