A Model Context Protocol server that enhances AI agents by providing deep semantic understanding of codebases, enabling more intelligent interactions through advanced code search and contextual awareness.
A Model Context Protocol server for local repository indexing and code understanding, enabling semantic search, AST analysis, dependency tracking, and symbol resolution.
A semantic code context server that connects your local repository to AI assistants via the Model Context Protocol, enabling dynamic codebase exploration without copy-pasting.
AST-aware codebase indexing with semantic search, exposed as an MCP server. Enables semantic search and file context retrieval across your codebase using natural language queries.
A Model Context Protocol server that provides semantic understanding of codebases using Qdrant vector database, enabling AI assistants to search files by purpose, discover relationships between files, analyze architecture, and identify refactoring opportunities.
