Enables LLM agents to efficiently understand and navigate a codebase by providing semantic search over symbols and a reference graph, replacing expensive grep/glob calls with structured tools like definition lookup, caller/callee queries, and change-impact analysis.
Local-first code intelligence MCP server that enables coding agents to search code, inspect structure, read exact ranges, and explore Git history with explicit token budgets.
Token-efficient code intelligence MCP server that indexes codebases with tree-sitter AST parsing and provides 150 tools for AI agents, using 61-95% fewer tokens than traditional grep/Read workflows.