Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Local MCP server that shows AI agents which patterns your team actually uses, what files a change will affect, and when there is not enough context to trust an edit. 30+ languages, fully local.
Semantic code index that extracts domain concepts, naming conventions, and behavioral similarity from codebases. One tool call instead of 19, 20x fewer tokens for codebase understanding queries.