Workspace-aware MCP server that provides AI clients with structural code understanding via AST parsing, hybrid retrieval, and git history, enabling accurate code search, definition lookup, and blame analysis.
A production-ready MCP server that enables AI assistants to intelligently understand, analyze, edit, navigate, and review software projects with multi-workspace support, Git integration, and semantic search.
MCP server that scans workspace roots to build a registry of version-controlled projects, exposing tools for searching, listing, and inspecting projects to help AI coding agents navigate multi-repo workspaces efficiently.
An experimental MCP server that enables AI assistants to interact with VS Code workspaces through file operations, code execution, and Git management. It also provides tools for Docker integration, project scaffolding, and secure command execution using project-specific configurations.
A unified MCP server for scaffolding project structures across multiple frameworks including Spring Boot, React, Vue, Next.js, FastAPI, Django, Flask, Express, and more.
Token-efficient MCP server for multi-language project analysis (Java, TypeScript, JavaScript, Markdown, Python) with plugins, semantic search, and static analysis.
