MCP server that provides AI coding agents automatic access to AGENTS.md documentation from GitHub repositories, enabling understanding of codebase conventions and patterns.
An MCP server that gives AI agents structured code understanding and precise code intelligence via local indexing of AST, call graphs, and semantic search.
An MCP server that enables AI agents to navigate and understand codebases through file descriptions, semantic search, and code recommendations without repeatedly scanning files.
An MCP server that indexes your codebase using tree-sitter AST parsing and gives AI tools instant access to structural intelligence like dependency graphs, call trees, and dead code detection from a local SQLite database.
MCP server that helps AI coding agents understand a repository by providing lightweight tree/map, code search, and token-budgeted context packing tools without dumping the entire monorepo into the prompt.
An MCP server that generates ranked, token-budgeted code structure maps using Tree-sitter AST analysis and PageRank, enabling AI agents to quickly understand unfamiliar codebases.