Provides structural, queryable understanding of a Python codebase via MCP tools, enabling direct lookups for callers, dependencies, and class hierarchies without repeated grep/read cycles.
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.
Provides MCP tools for Claude Code to query a project's codebase via a compact index, reducing token usage and context bloat by enabling symbol lookup, usage tracking, and dead-code detection.
Local production engineering platform that indexes Python codebases and exposes semantic code analysis, git risk scoring, and log correlation through MCP tools for AI assistants.